Abstract
This case study examines the appropriation of Telegram as a wartime infrastructure for aid delivery in Ukraine during the winter of 2025. Focusing on the Dnipropetrovsk region, where military units and civilians in the near rear suffered from bombardments and drone attacks, the study reconstructs a multi-step procurement process through which generators and medical equipment were delivered via decentralized Telegram-mediated logistics. Drawing on 20 semi-structured interviews and supplementary observations of relevant Telegram channels, it shows how soldiers, volunteers, and diaspora actors relied on the platform to request, verify, fundraise, procure, and transport essential items. The analysis highlights three intertwined dimensions of Telegram use: care, through improvised infrastructures of solidarity that substituted for slow or unresponsive official systems; control, through informal moderation, self-censorship, and exposure to disinformation and surveillance; and resistance, through selective withdrawal and disengagement as strategies of self-protection. The case demonstrates how a commercial messenger became a contested socio-technical infrastructure, simultaneously fostering resilience and amplifying vulnerability. It contributes to HCI and crisis informatics by offering lessons on designing for distributed trust, recognizing informal governance, and enabling safe forms of participation in high-risk environments.
1 Introduction
Since the beginning of Russia’s full-scale invasion of Ukraine in 2022, Ukrainian residents began massively improvising digital infrastructures to organize aid, sustain communication, and preserve morale. 1 Among them, Telegram quickly became both a lifeline and an “action arena”: 2 , 3 a multifunctional non-controlled platform enabling rapid coordination, mutual support, and transnational solidarity. At the same time, Telegram’s openness and lack of regulation revealed and added several vulnerabilities. Users faced surveillance, 4 , 5 , 6 exposure to propaganda, and the emotional strain of constant information flows. Propaganda streamed from both sides: Russian campaigns aimed at undermining unity, and Ukrainian campaigns reinforcing patriotic sentiments.
This case examines a decentralized procurement process that unfolded across multiple volunteer initiatives, military units, and diaspora groups in the Dnipropetrovsk region during January-March 2025. These actors repeatedly faced the challenge of securing critical items (such as generators and medical equipment) for settlements and near-rear areas affected by bombardments and drone attacks during a harsh winter. Rather than focusing on a single organisation or coordination hub, we trace an improvised, multi-actor logistics chain: initiated by frontline requests, verified and mobilised by volunteer networks, amplified through public fundraising, and fulfilled through diaspora procurement and cross-border transport. Accordingly, the procurement process itself constitutes the unit of analysis in this study, while the participating actor groups and their practices serve as embedded subunits within that process. In this context, Telegram was appropriated by different groups of engaged actors to organize and coordinate the delivery of emergency supplies, such as generators and tourniquets. Requests were initiated by soldiers, taken up by volunteers in nearby communities and throughout Ukraine, and fulfilled with the support of diaspora groups in other countries, such as Germany, who purchased equipment and organized transport back to Ukraine.
Based on 20 semi-structured interviews (see interviewees profiles in Table 1) and ethnographic observations, this study examines how Telegram functioned as a wartime logistics infrastructure, highlighting three dimensions:
care, including coordination of aid, logistics, and maintaining solidarity across borders;
control and informal regulation of communication, anticipating risks of surveillance and disinformation;
resistance, embracing practices of supportive action, including muting, withdrawal, or creation of alternative channels as strategies of self-protection.
Overview of interview participants and their affiliations.
| ID | Affiliation/Initiative |
| Volunteers (in Ukraine) | |
| VOL-1 (volunteer 1) | Volunteer initiative “svoikh na svoyikh" |
| VOL-2 (volunteer 2) | Charitable foundation"Lemberg volunteers" |
| VOL-3 (volunteer 3) | Charitable foundation “Volya" |
| VOL-4 (volunteer 4) | Independent supporter for combat medics |
| VOL-5 (volunteer 5) | Charitable foundation “Mizh namy” (“between us”) |
| VOL-6 (volunteer 6) | Coordinator of civic initiative for army support in dnipro |
| VOL-7 (volunteer 7) | Volunteer initiative “svoikh na svoyikh" |
| VOL-8 (volunteer 8) | Charitable foundation “Lemberg volunteers" |
| VOL-9 (volunteer 9) | Charitable foundation “Volya" |
| VOL-10 (volunteer 10) | Independent supporter for combat medics |
| VOL-11 (volunteer 11) | Charitable foundation “Mizh namy” (“between us”) |
| VOL-12 (volunteer 12) | Coordinator of civic initiative for army support in dnipro |
| Representatives of military units | |
| MIL-1 (military 1) | Sergeant, head of aerial reconnaissance division, Ukrainian army |
| MIL-2 (military 2) | Junior sergeant, front unit logistics |
| MIL-3 (military 3) | Officer, communications division |
| MIL-4 (military 4) | Platoon commander, infantry brigade |
| MIL-5 (military 5) | Sergeant, frontline signal unit |
| MIL-6 (military 6) | Tactical group coordinator, eastern region |
| MIL-7 (military 7) | Infantry sergeant |
| MIL-8 (military 8) | International unit representative |
| MIL-9 (military 9) | Territorial defense commander |
| Volunteers in diaspora (in Germany) | |
| DIA 1 - Volunteer of diaspora in Germany | Diaspora activist (Germany), supporting logistics & fundraising |
| DIA 2 - Volunteer of diaspora in Germany | Coordinator, diaspora fundraising network (Germany) |
The aim is to analyze in which ways an improvised supply chain, mediated through Telegram, reveals broader dynamics of appropriation in crisis settings. This is exemplified through the Dnipropetrovsk region case, where military personnel, volunteers, and diaspora united to provide necessary items both to the frontline (Donetsk region) and the cities suffering from air attacks. Rather than applying a formal evaluation framework, the study uses interview and ethnographic data to reconstruct one supply chain and to reflect on the broader appropriation of Telegram as a socio-technical infrastructure under wartime conditions.
The research questions guiding this study are as follows:
How did soldiers, volunteers, and diaspora actors appropriate Telegram to coordinate a decentralized wartime procurement process in the Dnipropetrovsk region (Jan-March 2025)?
How did practices of care, control, and resistance shape, enable or constrain this appropriation in day-to-day coordination?
This article makes three contributions. First, it reconstructs a five-step process map of wartime aid logistics coordinated through Telegram across distributed civil-military-diaspora actors. Second, it develops a practice-based model of care, control, and resistance that explains how users sustained or constrained this logistics chain under high-risk conditions. Third, it derives design implications for safe accountability and bounded participation in crisis-oriented socio-technical infrastructures. By focusing on these aspects, the study contributes to the fields of Human-Computer Interaction (HCI) and crisis informatics, 6 , 7 , 8 offering lessons on the design and understanding of socio-technical infrastructures in high-risk environments, where platforms simultaneously foster resilience and amplify vulnerability due to security gaps and features of their design and organization.
2 Related work: telegram as the communication platform and the infrastructure for care
Research on platform use in crises has converged into a broad field of crisis informatics, which emphasises the socio-technical nature of communication during disasters and conflict and foregrounds how people appropriate digital tools to accomplish time-critical coordination, 9 , 10 sense-making, and mutual aid. 11 These set of works in crisis informatics describe how social media and messaging platforms like Telegram reconfigure authority, enable distributed information flows, and create emergent community actions that supplement formal emergency systems, which is particularly relevant for investigation platform-mediated volunteerism, rapid fundraising, and ad-hoc logistics.
Parallel bodies of scholarship have addressed the social and infrastructural aspects of platform appropriation: 12 , 13 , 14 , 15 studies of informal infrastructures treat platforms not merely as communication channels but as layers within wider assemblages of logistics, norms, and practices that together enact service provision (for example, how ad-hoc chains of actors compensate for institutional failures). From this perspective, messaging platforms like Telegram become informal but vial digital infrastructural backbones in crisis situations when state systems are expectedly slow or constrained. Related work also finds the political and governance dimensions of such infrastructures – who moderates, who verifies, and how accountability is performed in informal networks.
A growing empirical literature about Telegram has documented its centrality in the Russo-Ukrainian information environment. 11 , 16 , 17 Researchers have analysed the platform’s role as a broadcasting and organising space – from public channels and “milbloggers” 18 to grassroots fundraising and bot-driven services. 11 , 19 They also have documented both its affordances (scale, channels, relative pseudonymity) and harms such as disinformation, propaganda, populism, far-right extremism, platform opacity, and metadata vulnerabilities. Several studies have mapped information flows and misinformation dynamics on Telegram during the war, and others have documented government responses (including bans or restrictions on official devices), underscoring Telegram’s contested governance status in wartime settings. 20 These studies allow us to consider Telegram as an influential but ambivalent infrastructure – simultaneously enabling mass coordination and, at the same time, new vectors of risk.
Research to date has documented Telegram’s prominence for information dissemination, political communication, and (mis)information dynamics in the Russo-Ukrainian war, and scholars have analysed public channels, and propaganda flows. However, less empirical attention has been paid to Telegram’s role as an improvised logistical infrastructure – that is, as the operational backbone of material supply chains (such as “fundraising – diaspora procurement - cross-border transport – frontline delivery”) enacted through messenger affordances, reputation audit practices, and ad-hoc governance. While existing studies map information flows and misinformation, issues of power and affordances appropriation, they rarely trace, in detail, how specific wartime supply chains are coordinated through social messengers (in our case, Telegram) across multiple actor groups. Our case contributes novelty by reconstructing a complete, interview-based supply chain and by analysing micro-practices of verification, informal moderation, and strategic disengagement that make these logistics possible (or that undermine them) in an active warzone. In doing so, we examine, how soldiers, volunteers and diaspora actors appropriate Telegram to coordinate wartime logistics, and how practices of care, control and resistance shape this appropriation. This work situates Telegram not only as an information ecology but as a wartime logistics infrastructure whose social, technical, and governance entanglements have practical design implications for HCI and crisis informatics.
3 Methods: embedded case design and data collection
This study follows an embedded process-tracing case study design in which the unit of analysis is the wartime procurement process itself – the multi-step chain through which requests, verification, fundraising, procurement, and delivery were coordinated across distributed actor groups using Telegram. Within this process, the embedded subunits include (1) the actors involved (frontline soldiers, volunteers in Dnipro/Lviv, diaspora procurement groups), (2) their coordination practices (request initiation, verification, cross-border procurement, delivery), and (3) cross-cutting socio-technical dynamics (care, control, resistance). This design allows us to analyse a decentralized logistics chain without attributing coordination to any single organisation, hub, or formal structure. We adopted a qualitative case study approach to reconstruct this multi-actor logistics process and to analyse how different groups appropriated Telegram to support it. The empirical material consisted of 20 semi-structured interviews with three categories of actors directly involved in the logistics chain between January and March 2025: frontline and near-rear military personnel, civilian volunteers in Dnipro and Lviv, and members of Ukrainian diaspora logistics groups in Germany (see Table 1).
Participant recruitment relied on the second author’s long-term engagement with Ukrainian volunteer networks, including online communication channels and trusted intermediaries who connected us to actors across different parts of the logistics chain. For recruiting, authors used snowball sampling and networks mediated by trusted intermediaries. Sampling emphasised maximum variation across positions in the logistics chain to capture variation in coordination practices. In particular, we included interviewees who were engaged in a set of relevant activities: submission of equipment requests, their verification, fundraising, procurement, or delivery during the specified period.
Interviews were conducted between March and June 2025 in Ukrainian or Russian, depending on participant preference, and lasted between 35 and 90 min. Interviews were audio-recorded with participants’ consent, transcribed, and translated into English for analysis. To complement interview data, we conducted online observational monitoring of three Telegram channels involved in equipment requests, fundraising campaigns, procurement coordination, and delivery confirmations. These observations were documented through short analytic notes that captured message dynamics, informal moderation practices, verification work, and actors’ strategies for mitigating platform-related risks.
Data analysis followed the principles of reflexive thematic analysis. 21 The analytic pipeline proceeded in three iterative phases. During the first phase, authors conducted initial coding, where the first author conducted line-by-line open coding of all transcripts and ethnographic notes generating an inductively developed codebook focused on emergent practices such as care coordination, verification routines, information control, and disengagement strategies. During the second phase, the themes were developed and refined. The second author coded a subset of 30 % of the data to cross-validate initial codes, followed by joint discussions to cluster codes into candidate themes (e.g., care, control, resistance) through memo-writing and comparative analysis across actor groups (military, volunteers, diaspora). In this way, the codebook was iteratively refined through memo writing and regular discussions between authors, in which we compared interpretations across actor groups and related them to our ethnographic observations. We also looked for disconfirming cases (for example, situations where verification failed or fundraising stalled) to challenge and sharpen our interpretations and to refine theme boundaries. The third phase was validation and synthesis, where both authors triangulated findings by integrating interview data with ethnographic observations and external documents (e.g., public fundraising reports) to ensure robustness, while seeking negative or disconfirming cases (such as instances of failed verification leading to stalled fundraising or emotional burnout from over-engagement) to challenge emerging interpretations and refine theme boundaries.
Researcher roles were complementary: the first author led on coding and thematic synthesis due to prior expertise in platform studies, while second author emphasized contextual grounding from her fieldwork in Ukrainian volunteer networks, with reflexive memos documenting potential biases from authors’ positionalities as researchers with ties to affected communities. The third and fourth authors supported theoretical saturation. It was assessed inductively during phase 2, following Guest et al: 22 after coding the first 12 interviews (achieving initial saturation for core themes like “care” and “control”), we continued until the final eight interviews and observations yielded no new conceptual insights, confirming thematic stability across data sources. This process ensured comprehensive coverage without redundancy, with saturation explicitly noted in analytic memos when theme elaboration ceased. The study followed the ethical guidelines of the University of Siegen and broader crisis-informatics research norms. Formal ethics board approval was not required for this type of non-interventional social research involving adult participants; nevertheless, we implemented a strict self-managed ethical protocol due to the sensitivity of wartime contexts. Participation was voluntary, informed consent was obtained orally, and interviewees could decline questions or withdraw at any time. To minimise risks, all personal names, unit identifiers, and geographic details below the regional level were removed or generalised, and no photos, screenshots, or operationally sensitive material were retained in the dataset. Our prior engagement with volunteer and crisis-response communities provided contextual understanding but also required reflexive attention to proximity and potential bias. We mitigated this through systematic cross-checking of interpretations, triangulation across data sources, and explicit documentation of analytic decisions.
4 Case description: appropriation of telegram in the dnipropetrovsk region
By early 2025, Russian occupying forces, despite sustaining heavy losses, continued to advance into the Donetsk region, gradually approaching Dnipropetrovsk region. Ill-famed for their scorched-earth tactics, Russian troops bombed both military and civilian infrastructure, causing numerous casualties among the civilian population. In this context, the volunteer movement became a crucial backbone of resistance, as activists organized multiple supply channels to support the armed forces. Dnipro, the largest city in the region, functioned as a geographically important concentration point within a broader distributed network of volunteer initiatives. However, coordination was not centralised in any single organisation; instead, multiple independent groups and individuals contributed to the logistics chain in a loosely connected, decentralised manner. They received requests from military personnel, raised funds, and passed on lists of needed items and collected money to diaspora members in countries such as Poland and Germany, where large Ukrainian communities were ready to mobilize support.
During the harsh winter of 2025, military units and volunteers in the rear were heavily targeted by bombardments and drone attacks. As a result, they faced acute shortages of equipment: generators were needed to restore electricity after strikes, while tourniquets and medical gear were urgently required to treat casualties. It is important to note that no single organisation or hub coordinated the logistics described below. Each step of the chain was carried out by loosely coupled actors whose interactions became visible only when traced through Telegram-mediated coordination. The narrative that follows reconstructs this distributed process, rather than attributing it to any formal entity.
4.1 Official channels of supplies and rise of alternative routes
During the height of the war, official systems for communication and equipment requests were deliberately kept non-public to avoid providing intelligence to the enemy. Formally, brigade commanders submitted requests through the Ministry of Defense’s Electronic Document Management System (СЕДО) and the Army + app. 23 , 24 But interviewees described these procedures as slow and unpredictable, noting that “the waiting time is typically difficult to predict” (VOL-9). Another respondent added that requests were often misaligned with urgent needs (MIL3). Volunteers also mentioned risks such as inefficient resource allocation and possible corruption (VOL1). In this context, volunteer hubs in Dnipro and Lviv (both formal organizations and informal networks of resistance and care) became crucial intermediaries. They received requests via Telegram chats, calculated costs, and mobilized resources for providing the equipment needed.
Over time, soldiers also built stable relationships with businesses, state institutions, and charitable foundations, which often became the first point of contact for equipment needs. 25 These actors could negotiate quantities, timelines, and even publicity aspects of deliveries (VOL-9). Yet when requests could not be fully met, brigades relied on civilian volunteers who mobilized smaller resources via Telegram groups and channels. At the platoon or company level, decisions about urgent items were often made collectively, drawing on informal contacts among businesses, foundations, and familiar volunteers who could respond quickly.
Formal procurement remained possible but cumbersome. Registering equipment through official procedures required commanders willing to shoulder the burden of documentation and audits, something respondents described as rare (VOL-1). By contrast, receiving items as gifts required little more than a photo for donor reporting, which over time became a widely accepted practice (MIL-9). Until 2024, soldiers preferred this path, but as societal support declined, 26 , 27 commanders increasingly insisted on formalizing deliveries to secure them for specific units (VOL8). Where foundations cooperated, the process worked smoothly; otherwise, requests were reposted through Telegram and other informal networks until sufficient funds were raised.
These overlapping practices revealed both the strength and fragility of the system. Volunteers, in effect, took on functions normally assigned to the Ministry of Defense, blurring the line between formal and informal governance. Once transferred to Telegram, these relations produced a culture of care and cooperation but also amplified familiar problems: duplication, mistrust, and exposure to manipulation. The platform’s insecurity, coupled with its appropriation by political and hostile actors, further heightened the vulnerability of those engaged in these improvised infrastructures of support. 28 , 29
Diaspora groups carried part of this burden as well. Though geographically distant, they were expected to leverage broader access to international resources. Once requests from Dnipro volunteers (for example, for generators or tourniquets) were verified and funds collected, Ukrainian diaspora in Germany purchased the equipment locally and organized transport through networks of refugee drivers found in Telegram groups. Supplies were routed via Lviv and Dnipro to units closer to the frontline. Deliveries were documented with photographs shared in fundraising channels, reassuring donors and sustaining further rounds of support.
4.2 The role of telegram
Government institutions with their hotlines struggled to cope with the scale and speed of events, where the needs of civilians and militants went beyond the capacities of official institutions. In extreme conditions, existing infrastructures of communication, delivery, and coordination became overwhelmed. 30 , 31 In several southeastern regions of Ukraine, particularly those targeted by the advance of Russian troops, information channels and logistical chains were disrupted, also due to chaotic decisions, population movements, infrastructural damages, and bureaucratic delays.
Under such conditions, citizens, volunteers, the military, and diaspora networks turned to the most widespread and quickly accessible digital tool Telegram 2 , 32 to organise survival, coordinate logistics, and maintain a sense of connection and decentralised collective care.
Thus, among the available platforms, Telegram rapidly became the primary virtual place of communication. 2 Several of its features made it particularly suitable for wartime conditions:
anonymity and pseudonymity 12 lowered the barrier to participation and allowed individuals to engage in interactions freely;
a low level of moderation and minimal platform interference 33 created an environment in which messages could circulate without delay, though this also meant greater vulnerability to false, biased, or manipulative information;
Technically, Telegram offers two different chat types: 34 cloud (default) chats, which are synchronized across devices and stored (encrypted) on Telegram’s servers to allow multi-device access; and secret chats, which are end-to-end encrypted, device-bound and do not persist on Telegram servers. Secret chats protect message content from server-side access but are limited to one-to-one sessions and do not support multi-device syncing. Even when content is end-to-end encrypted, Telegram (like other platforms) can still retain metadata (for example contact interactions, timestamps, and IP logs depending on circumstances), and public features such as channels, bots, and large broadcast groups enable high-reach distribution and automation but also centralize audiences and increase metadata exposure. These design choices produce trade-offs: cloud chats enable coordination at scale and cross-device convenience, while secret chats offer stronger content confidentiality for sensitive coordination – but neither choice eliminates risks from metadata leakage or adversarial use of channels/bots.
Taken together, these technical and socio-cultural characteristics made Telegram a shared space of interaction, co-organising, and coordination for building collective resilience and providing care where it was needed.
Although Telegram dominated communication among engaged actors and their informal networks, it was not the only platform in use. Viber remained popular among the older generation, valued for its simplicity, but was less effective for large-scale coordination. WhatsApp was widely used by the Ukrainian diaspora and for everyday interpersonal communication, especially in Western Europe, 32 , 35 but limitations on group size and dependence on phone contacts made it less suitable for open, distributed organisation. Signal was considered by some activists and military personnel to be more secure (MIL-10), but it never achieved mass adoption due to its smaller user base and limited integration into existing networks.
Within this ecosystem of messengers appropriated for organising support and resistance, Telegram occupied a key position: it combined reach, flexibility, and cultural embeddedness, making it the primary digital infrastructure at the early stage of the war. However, the insecurity of its use remained a significant issue to be addressed.
5 Case narrative: adoption and appropriation of telegram
The following sections traced how Telegram became the backbone of one recurring operation in winter 2025: the delivery of generators, tourniquets, and protective equipment to military units in the Dnipropetrovsk region. Figure 1 provides an overview of the five-step process map that structures the case narrative and anchors the analysis.

Schematic overview of telegram-mediated supply chain in dnipropetrovsk region (january – March 2025).
5.1 Step 1 – requests from the frontline
Military personnel stationed in bases around Dnipropetrovsk, regularly hit by bombardments and drone strikes, initiated the process by sending urgent requests in Telegram chats shared with trusted volunteers. All requests were time sensitive. Military 3 stressed: “We sent the request to our trusted volunteer chat; otherwise, the waiting time would be unbearable”. Also, to avoid revealing sensitive positions, soldiers often wrote in coded language or used indirect references (VOL-1). These requests typically included lists of essential items: a generator to restore electricity after a strike, or medical supplies to stabilize wounded soldiers. Thanks to this engagement, urgent items such as tourniquets could be matched with donors in minutes: “Sometimes you cannot wait for the official decision, because lives depend on hours, not weeks” (VOL-2).
5.2 Step 2 – volunteer coordination in Dnipro and Lviv
Requests were taken up by volunteer hubs and informal volunteer networks in Dnipro and Lviv, who acted as intermediaries between soldiers and wider donor networks. Their first task was to calculate costs and set priorities. Volunteer 2 said that these hubs and informal systems of communication and coordination allowed to ensure that everything happened fast. Volunteers described themselves as “patching the gaps” left by slow or unresponsive state systems (VOL-4). At the same time, considering the almost urgent and chaotic nature of such requests as well as the high level of trust in volunteerism as a fast alternative to official sources, the question of verification of needs by providers arose. Fraudulent appeals were common, forcing what respondents called “reputation audits” - informal, trust-based verification process employed by Ukrainian volunteers to evaluate the legitimacy of urgent aid requests received via Telegram during the Russia-Ukraine war by unknown users. Rather than relying solely on superficial evidence like screenshots of supposed deliveries, volunteers used to check these persons of organisations by cross-referencing the requester’s history, profiles in social media, affiliations, and endorsements from established contacts within closed, trusted Telegram groups. This relational gatekeeping helped to minimizing emotional and financial exploitation: “Screenshots (with delivered supplies) were not enough anymore – we always check reputation first” (VOL-5).
Another feature of responding to requests from unknown actors was establishing trust. As the volunteer coordination infrastructure became a well-known brand, cases of dishonest use of these networks and fraud began to emerge. Therefore, volunteers admitted that they were working under constant pressure, because they had to ensure they were not being scammed:“Every day you doubt – are you helping a real case or being deceived while others suffer?” (VOL-6).
5.3 Step 3 – fundraising via telegram channels
Once verified, requests were published on Telegram fundraising channels or shared with influencers and bloggers. Donations flowed from ordinary citizens, local businesses, and public figures. One volunteer explained: “Sometimes a single post from a trusted blogger could raise the money for a needed equipment in just a few hours” (MIL7). At this step, both the capacities and fragility of Telegram’s openness became evident: while the information spread rapidly, the lack of formal moderation also created space for scams and emotional manipulation. At the same time, fundraising through Telegram also exposed vulnerabilities, including the risk of misallocated funds, the erosion of informal trust networks, and the constant distractions that strained participants’ motivation.
5.4 Step 4 – diaspora procurement in Germany
Funds collected in Ukraine were transferred to diaspora groups in Germany, who took responsibility for purchasing equipment and arranging transport. Diaspora representative 2 mentioned: “we found the generators through work contacts and a car with a driver – via Telegram group of Ukrainians in Germany”. Diaspora representative 1 recognised that they were not merely donors, “but also part of the (more complex) logistics chain”. By relying on diaspora procurement, volunteers bypassed shortages and inflated prices in Ukraine. In other words, diaspora actors recognised themselves the dual nature of their role: supporting both financially and logistically. Another important role of diaspora actors was an extension of care beyond geographical boundaries of Ukraine. As Military 7 emphasised, an important motivating factor for soldiers lies in preserving the sense that their “efforts are valued” (MIL-7) - especially when this appreciation is expressed not only through words but also through reciprocal actions. In this way, service members do not feel abandoned or detached from the civil society in which they also strive to remain integrated, including through platforms such as Telegram. As the respondent (MIL-7) further noted, some requests made by volunteers were not always fulfilled quickly and may return to the frontline in the form of equipment only after some time. Yet what is no less important for him is the very fact that this motivated work does not stop and that the connection between volunteers and soldiers is maintained until the requested support is delivered. This provides a profound sense of care and reinforces the understanding that the efforts of soldiers remain significant and valued by society.
5.5 Step 5 – delivery and digital accountability
The system of informal ties within logistics networks was already well established, with many groups and individual actors having cooperated for a long time. Contacts of trusted drivers circulated within volunteer communities, enabling reliable deliveries. At the same time, activists often relied on Telegram to identify additional drivers willing to transport goods purchased abroad – for example, in Germany. These items were typically brought first to Lviv, then forwarded to Dnipro, and from there moved toward the frontline, where they were handed over either to volunteers or directly to soldiers. A central element of this process was the practice of digital accountability (improvised reporting practices, typically anonymized photos or updates, used to demonstrate that donated equipment has been properly delivered and used 36 ) toward donors who had contributed to fundraising or procured equipment. Upon receiving deliveries, recipients routinely took photographs to confirm that the items had been purchased at the stated price and delivered to the requesting unit. As one soldier noted: “It became tradition: we always send a photo with the generator or gear, so donors see it’s real” (MIL-9). Such images were anonymized (stripped of identifiable locations and faces) and circulated in Telegram groups as proof of proper use of funds. These rituals of visual reporting reassured donors, reinforced trust, and sustained further cycles of aid.
6 Analysis
6.1 Fragile solidarities: providing care in the improvised infrastructures
The infrastructure of care that emerged through Telegram was essentially a network of dozens of individual initiatives. It was informal, decentralized, and weakly coordinated, lacking hierarchy and the procedural clarity of formal welfare systems. Its fragility stemmed from the absence of rules, professional expertise, or standardized protocols. Participants often acted with limited knowledge about how to provide support most effectively, relying instead on available resources and improvised fundraising.
Nevertheless, this fragile system, built on a shared motivation to sustain societal resilience, aid victims, and contribute to collective liberation fulfilled crucial functions. It not only delivered equipment and humanitarian supplies where they were essential for survival, but also created networks of trust between soldiers, civil society, and the broader public. In doing so, it became a source of motivation for continuing defensive efforts. The supply chains described in the case narrative revealed Telegram as an improvised infrastructure of care, which complemented official government services, and, in addition, demonstrates and enables peer-to-peer solicitude. When bombardments left cities in the Donetsk and Dnipropetrovsk regions without power or basic medical supplies, the official system proved too slow to respond and all the more, to ensure the need-centeredness of such responses. Volunteers stepped in, using Telegram to circulate requests, mobilize donors, and link soldiers to diaspora supporters abroad (VOL-7). This ability to respond rapidly meant that life-saving aid often reached the near rear (forward part of the rear zone located just behind the frontline) within days rather than weeks and at the same time revealed the mass character of such support and care.
Yet the very openness of Telegram that enabled such support also made it fragile. Fraudulent appeals proliferated, forcing volunteers to rely on personal trust networks and conduct “reputation audits” before committing to a request (VOL-5). At the same time, this reliance on small, tightly knit clusters protected donors but placed a heavy emotional burden on volunteers who constantly questioned whether they were helping real cases among several requests. At times, overlapping Telegram chats produced “care bottlenecks.” As VOL-11 explained, “Five people start helping at once, but no one finishes the job. We all assume someone else is already on it.” In these cases, solidarity diluted responsibility and slowed action instead of accelerating it.
In this way, peer-to-peer care was extended far beyond organising logistics. Telegram groups became inclusive and welcoming spaces for performing a wide range of socially relevant tasks such as tracing missed persons or gathering information about detainees, especially in devastated areas like Mariupol (DIA-2; VOL-3). These practices showed that solidarity was not limited to material aid but also included efforts to restore the connection where formal institutions could not provide answers and deliver solutions.
6.2 Control: navigating surveillance, moderation, and disinformation
In the diverse ecosystem of Telegram-enabled care, there also appeared a space for formal and informal (as well as direct and indirect) control from the sides of different actors and their groups. Governmental actors’ oversight, though not directly enforceable due to Telegram’s design, involved establishing a clear agenda that designated “allied” actors (“us”) - those supporting this resilience and maintaining this decentralised and self-organised care infrastructure – and “others” as “non-allied” or outright “outsiders.” This was largely driven by wartime challenges and the inability to fully rely on technologies whose use carried significant security risks. Undoubtedly, military respondents were clear that the platform posed serious security risks (MIL-1; MIL-4; MIL-6). A single compromised phone or an incautious social media post could expose a unit’s location and draw enemy fire.
At the same time, within civilian groups, control also manifested through the reinforcement of official narratives, as moderators and loyalist actors sought to limit discontent and reduce backlash to sensitive or unpopular measures. In response, volunteer chats developed informal moderation practices that immediately silenced controversial remarks (VOL-8). Criticism of military leadership or government institutions was often stigmatized as “zrada” (betrayal) or deleted from the group alongside the user who posted it (Vol-5). These practices reinforced unity by maintaining uniformity in expressed opinions and rejecting their diversity, but created in this way an atmosphere where dissent and reflection were difficult to sustain. In one volunteer group, excessive deletion of messages labelled as “negativity” led several long-term contributors to leave. As VOL-8 put it, “If everything you say gets censored, you stop saying anything at all,” illustrating how informal control can suppress useful dissent.
Alongside surveillance and moderation, disinformation emerged as a major challenge, shaping how users experienced the platform. Rumors about mobilization, mistranslated foreign news, and manipulative appeals, often launched by pro-Russian agents and amplified by pro-Russian influencers, circulated widely and fueled mistrust (DIA 2). Such narratives fed mistrust and confusion, at times even shaping attitudes toward ceasefire or peace talks. In this way, Telegram was not only a site of solidarity but also a contested space where governance, censorship, and propaganda unfolded in parallel.
Telegram’s convenience and lack of moderation possibilities as well as the impossibility of granting the Ukrainian government (as well as the Russian one, as the opposing side in the conflict) access to control user behavior made it indispensable during wartime. Also, it turned it into a high-risk environment with a wide set of challenges. Users across different groups described strategies of self-censorship, verification, and selective disengagement to cope with these risks which included (but were not limited to) digital vulnerability to internal and external (relative to the conflict side) adversaries, dependence on Telegram’s infrastructure capabilities and design in critical situations.
6.3 Resistance: tactical withdrawal and emotional self-protection
Against the constant flow of requests, news, and propaganda, many respondents described practices of resistance that took the form of withdrawal. Volunteers muted their Telegram notifications after certain quiet hours (as requests often arrived in late hours), setting temporal boundaries to preserve sleep and mental health, even though they often felt guilty for doing so. VOL-6 noted that prolonged disengagement sometimes resulted in missed urgent requests, showing the tension between emotional protection and operational needs. This protective stance helped sustain long-term participation but reduced relational closeness that often motivates donors. VOL-12 admitted deliberately avoiding reading personal stories attached to requests: “If you feel everything, you break. Better to treat it as numbers.” Soldiers went further, treating Telegram itself as a liability for sensitive communication and relying instead on encrypted messengers or military radios. Non-use for social purposes became a tactical stance (which was also suggested by the government) - resistance by abstention.
Diaspora members, in turn, described cycles of compulsive monitoring followed by forced disconnection to cope with anxiety. They struggled to balance the need to remain informed and engaged with the emotional toll of consuming news about their homeland around the clock. These rhythms of engagement and retreat highlighted how Telegram was lived not only through participation but also through refusal.
Resistance in this sense did not mean open opposition, but rather the carving out of protective boundaries against overexposure and risk. It illustrates that appropriation of digital infrastructures in wartime involves not only acts of solidarity and control, but also the capacity to step back, mute, or log off as a means of survival. In such a way, improvised infrastructures of care (but also control and resistance) sustain communities in high-risk environments. They are fragile and place heavy burdens of verification on individuals. Therefore, designing more tailored tools for support of distributed trust-based services could lower this strain. Finally, the case demonstrates the duality of platforms like Telegram: the very features that enable rapid coordination (due to their openness, speed, minimal moderation) also create or reinforce vulnerabilities to manipulation and surveillance. Future socio-technical infrastructures must balance these competing dynamics, supporting resilience while safeguarding trust and security.
7 Conclusion: lessons for HCI from wartime appropriations of telegram
The case of using Telegram at the war-responsive decentralised action arena in Dnipropetrovsk region, revealed how a mainstream messenger was transformed into an independent wartime infrastructure under extreme conditions. This case provides a set of lessons for HCI and wider domains. What makes this case significant is the revealing the dual nature of such an improvised, naturally developed infrastructure. On the one side, it sustained a supply chain of such demanded goods as generators and medical equipment, but on the other – it illustrates how infrastructures emerge through appropriation across multiple domains of practice (care, control, and resistance) entangled in complex everyday life.
First, platforms (which became especially evident in crisis settings) cannot be understood as just undoubtedly helpful neutral channels or as static “technologies of coordination.” Rather, they are arenas of non-professional, emotionally-charged, and contextual values and interests-based improvisation where different actors simultaneously build solidarity, police each other, and carve out spaces of withdrawal. This means that platform design for high-risk environments must move beyond supporting efficiency of communication or speed alone. It must also acknowledge the politics of use: who can get to verify information, who moderates or censors, who and how can claim the right to step back from overwhelming flows.
Second, the case also highlights the need to recognize informal infrastructures as legitimate digital public sites of innovation. Telegram supported fragile but effective solidarities because people bent the platform to their needs – circulating photographs as ad hoc accountability, or re-purposing diaspora refugee groups into logistics hubs. These practices suggest that design should not only deliver secure and reliable features, but also provide hooks for appropriation that communities can adapt in collectively unforeseen ways. Building on this, our findings point to several concrete design implications: (1) lightweight verification tools that reduce the burden of reputation audits; (2) safe-by-design visual reporting features that support digital accountability without exposing sensitive metadata; and (3) mechanisms for bounded participation (such as automated quiet hours, escalation markers for urgent requests, or role-based information partitioning) to mitigate burnout and reduce exposure to risk.
Third, the case foregrounds the role of disengagement as a form of resilience. In HCI, disengagement is often treated as a failure of use; here it was a survival tactic. Muting channels or individuals, avoiding the platform for sensitive coordination, or cycling between immersion and retreat were not pathologies but necessary strategies. Designing for a crisis thus means designing for bounded participation, creating infrastructures that enable both engagement and safe withdrawal.
This study has several limitations. It focuses on one procurement sequence during a three-month period and therefore does not capture other wartime logistics chains or temporal shifts. The data reflects the perspectives of actors who were reachable through volunteer networks, which may exclude more marginal groups. Future work could compare multiple parallel procurement chains, examine how coordination evolves as institutional systems adapt, or develop participatory design collaborations with volunteer groups to prototype safer accountability mechanisms.
Future research could compare multiple parallel procurement chains across regions or platforms, examine how coordination practices evolve over longer phases of the war, and analyse how improvised infrastructures interact with formal state procurement systems as institutional capacities shift. Additional directions include developing and evaluating design probes for safer verification and metadata-minimising accountability, conducting longitudinal studies of volunteer burnout and bounded participation, and undertaking multi-sited investigations of cross-border procurement networks linking frontline actors, volunteers, and diaspora groups. Such work would deepen understanding of digital improvisation in crisis settings and inform the development of more resilient socio-technical infrastructures.
In sum, the case demonstrates that commercial platforms in wartime contexts operate as contested socio-technical infrastructures. They amplify both resilience and vulnerability, and their appropriation by soldiers, volunteers, and diaspora actors reveals lessons with knowledge about how we conceptualize and design technologies for collective survival in high-risk environments, which could be applied not only in Ukraine, but other crisis scenarios.
Award Identifier / Grant number: 262513311 - SFB 1187
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Research ethics: Not applicable.
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Informed consent: Informed consent was obtained from all individuals (N = 20) included in this study.
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Author contributions: Both authors conducted interviews with participants (ten each), and jointly transcribed and processed the material. The first author provided the conceptual framing of the study and analysis, while the second author focused on the empirical part. Both authors contributed equally to the analysis and writing, and approved the final version of the manuscript.
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Use of Large Language Models, AI and Machine Learning Tools: Language editing support was provided using ChatGPT (OpenAI) to improve readability and conciseness of the manuscript draft. Conceptual framing, data analysis, and final arguments are the author’s own.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: This work was supported by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the grant no. 262513311 - SFB 1187.
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Data availability: Not applicable.
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Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/icom-2025-0044).
© 2025 the author(s), published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Artikel in diesem Heft
- Frontmatter
- Editorial
- Case studies for human–computer interaction: lessons from a call for cases
- Research Papers
- From troubleshooting to status reporting: insights from long-term use of an HMD remote support system in a craft company
- How to successfully fail a design case study
- Designing a human-centered AI solution with radiologists to improve prostate cancer diagnosis
- Telegram as wartime infrastructure: alternative supply chains in Dnipropetrovsk region, winter 2025
- Designing for workplace well-being: a design case study using aromatherapy as a provocation
- Exploring body tracking sensors in longitudinal ambient display studies in the wild
- Writing or speaking: a quantitative survey of communication modes with conversational agents to promote mental health among young adults in Germany
- Evaluating tablet-based cognitive testing in underwater environments: a case study with two divers
- Report
- From the metaverse to virtual worlds: Europe’s path towards human-centric digital spaces – notes on digital autonomy, sovereignty, and culture