Kilian Buehling
Biographic Data
| ID | 4267288 |
|---|---|
| NAME | Kilian Buehling |
| GIVEN NAMES | Kilian |
| FAMILY NAME | Buehling |
| SIGNATURE | BUEHLING K |
| AFFILIATIONS | Weizenbaum Institute |
| ORCID | 0000-0002-5244-7547 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 13 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Chat groups as local civic infrastructure
Messaging groups are emerging as “meso-spaces”—digital environments that enable sustained dialogue and collective action through their distinct affordances. We examine how such spaces facilitate civic self-organization through their hybrid online/offline, public/private, and local/global dynamics and how they function as local civic infrastructure during times of crisis. Using a mixed-methods analytical approach, we examined 47 public Telegram gr…
Veiled conspiracism
Digital communication venues are essential infrastructures for anti-democratic actors to spread harmful content such as conspiracy theories. Capitalizing on platform affordances, they leverage conspiracy theories to mainstream their political views in broader public discourse. We compared the word choice, language style, and communicative function of conspiracy-related content to understand its platform-dependent differences and convergence. Our …
Lgde
We present Local Graph-based Dictionary Expansion (LGDE), a method for data-driven discovery of the semantic neighbourhood of words using tools from manifold learning and network science. At the heart of LGDE lies the creation of a word similarity graph from the geometry of word embeddings followed by local community detection based on graph diffusion. The diffusion in the local graph manifold allows the exploration of the complex nonlinear geome…
Lgde
We present Local Graph-based Dictionary Expansion (LGDE), a method for data-driven discovery of the semantic neighborhood of words using tools from manifold learning and network science. At the heart of LGDE lies the creation of a word similarity graph from the geometry of word embeddings followed by local community detection based on graph diffusion. The diffusion in the local graph manifold allows the exploration of the complex nonlinear geomet…
Mapping a Dark Space
Crafted as an open communication platform characterized by high anonymity and minimal moderation, Telegram has garnered increasing popularity among activists operating within repressive political contexts, as well as among political extremists and conspiracy theorists. While Telegram offers valuable data access to research non-institutionalized activism, scholars studying the latter on Telegram face unique theoretical and methodological challenge…
Challenges of and approaches to data collection across platforms and time
Taking the example of conspiracy-related communication online as one form of contentious politics, this study examines the data collection challenges for multidimensional comparative research across platforms, time, and cultural embeddings. It compares the architectures and features relevant to data collection, access regimes, and use cultures for a set of digital platforms and communication venues. Differentiating between actor- and content-base…
Message Deletion on Telegram
Ephemeral digital trace data can decrease the completeness, reproducibility, and reliability of social media datasets. Systematic post deletions thus potentially bias the results of computational methods used to map actors, content, and online information diffusion. Therefore, the aim of this study was to assess the extent and distribution of message deletion across different data types using data from the hybrid messenger service Telegram, which…
Pandemic Protesters on Telegram
This study analyzes how platform affordances, their appropriation by movement actors, and these actors' leveraging of information ecosystems-in combination-helped form a digital counterpublic during the COVID-19 pandemic. It draws on public communication data sent by more than 300 Telegram channels and group chats affiliated with the Querdenken movement over a 2-year period, and combines automated and manual text classification with network analy…
Measuring the diffusion of conspiracy theories in digital information ecologies
Digital platforms and media are fertile breeding grounds for disinformation and conspirational views. They provide a variety of communication venues for a mixed set of actors and foster the diffusion of content between actor groups, across platforms and media, and across languages and geographical spaces. Understanding those diffusion processes requires approaches to measure the prevalence and spread of communicative acts within and across digita…
Be my (little) partner?!—Universities' role in regional innovation systems when large firms are rare
Structural differences regarding the presence of large firms are likely to influence the performance of Regional Innovation Systems. Regions lacking large firms to act as brokers of knowledge and coordinators of regional (R&D) collaboration may have to rely on other actors to form internal and external links. We investigate whether, in this case, universities can fulfill the needs of Small‐ and Medium‐sized Enterprises (SMEs) with regard to coord…
Message Deletion on Telegram
Ephemeral digital trace data can decrease the completeness, reproducibility, and reliability of social media datasets. Systematic post deletions thus potentially bias the results of computational methods used to map actors, content, and online information diffusion. Therefore, the aim of this study was to assess the extent and distribution of message deletion across different data types using data from the hybrid messenger service Telegram, which…
Challenges of and approaches to data collection across platforms and time
Taking the example of conspiracy-related communication online as one form of contentious politics, this study examines the data collection challenges for multidimensional comparative research across platforms, time, and cultural embeddings. It compares the architectures and features relevant to data collection, access regimes, and use cultures for a set of digital platforms and communication venues. Differentiating between actor- and content-base…
Veiled conspiracism
Digital communication venues are essential infrastructures for anti-democratic actors to spread harmful content such as conspiracy theories. Capitalizing on platform affordances, they leverage conspiracy theories to mainstream their political views in broader public discourse. We compared the word choice, language style, and communicative function of conspiracy-related content to understand its platform-dependent differences and convergence. Our …
Pandemic Protesters on Telegram
This study analyzes how platform affordances, their appropriation by movement actors, and these actors' leveraging of information ecosystems-in combination-helped form a digital counterpublic during the COVID-19 pandemic. It draws on public communication data sent by more than 300 Telegram channels and group chats affiliated with the Querdenken movement over a 2-year period, and combines automated and manual text classification with network analy…
Measuring the diffusion of conspiracy theories in digital information ecologies
Digital platforms and media are fertile breeding grounds for disinformation and conspirational views. They provide a variety of communication venues for a mixed set of actors and foster the diffusion of content between actor groups, across platforms and media, and across languages and geographical spaces. Understanding those diffusion processes requires approaches to measure the prevalence and spread of communicative acts within and across digita…
Be my (little) partner?!—Universities' role in regional innovation systems when large firms are rare
Structural differences regarding the presence of large firms are likely to influence the performance of Regional Innovation Systems. Regions lacking large firms to act as brokers of knowledge and coordinators of regional (R&D) collaboration may have to rely on other actors to form internal and external links. We investigate whether, in this case, universities can fulfill the needs of Small‐ and Medium‐sized Enterprises (SMEs) with regard to coord…
Mapping a Dark Space
Crafted as an open communication platform characterized by high anonymity and minimal moderation, Telegram has garnered increasing popularity among activists operating within repressive political contexts, as well as among political extremists and conspiracy theorists. While Telegram offers valuable data access to research non-institutionalized activism, scholars studying the latter on Telegram face unique theoretical and methodological challenge…
Challenges of and approaches to data collection across platforms and time
Taking the example of conspiracy-related communication online as one form of contentious politics, this study examines the data collection challenges for multidimensional comparative research across platforms, time, and cultural embeddings. It compares the architectures and features relevant to data collection, access regimes, and use cultures for a set of digital platforms and communication venues. Differentiating between actor- and content-base…
Message Deletion on Telegram
Ephemeral digital trace data can decrease the completeness, reproducibility, and reliability of social media datasets. Systematic post deletions thus potentially bias the results of computational methods used to map actors, content, and online information diffusion. Therefore, the aim of this study was to assess the extent and distribution of message deletion across different data types using data from the hybrid messenger service Telegram, which…
Pandemic Protesters on Telegram
This study analyzes how platform affordances, their appropriation by movement actors, and these actors' leveraging of information ecosystems-in combination-helped form a digital counterpublic during the COVID-19 pandemic. It draws on public communication data sent by more than 300 Telegram channels and group chats affiliated with the Querdenken movement over a 2-year period, and combines automated and manual text classification with network analy…
Chat groups as local civic infrastructure
Messaging groups are emerging as “meso-spaces”—digital environments that enable sustained dialogue and collective action through their distinct affordances. We examine how such spaces facilitate civic self-organization through their hybrid online/offline, public/private, and local/global dynamics and how they function as local civic infrastructure during times of crisis. Using a mixed-methods analytical approach, we examined 47 public Telegram gr…
Veiled conspiracism
Digital communication venues are essential infrastructures for anti-democratic actors to spread harmful content such as conspiracy theories. Capitalizing on platform affordances, they leverage conspiracy theories to mainstream their political views in broader public discourse. We compared the word choice, language style, and communicative function of conspiracy-related content to understand its platform-dependent differences and convergence. Our …
Lgde
We present Local Graph-based Dictionary Expansion (LGDE), a method for data-driven discovery of the semantic neighbourhood of words using tools from manifold learning and network science. At the heart of LGDE lies the creation of a word similarity graph from the geometry of word embeddings followed by local community detection based on graph diffusion. The diffusion in the local graph manifold allows the exploration of the complex nonlinear geome…
Lgde
We present Local Graph-based Dictionary Expansion (LGDE), a method for data-driven discovery of the semantic neighborhood of words using tools from manifold learning and network science. At the heart of LGDE lies the creation of a word similarity graph from the geometry of word embeddings followed by local community detection based on graph diffusion. The diffusion in the local graph manifold allows the exploration of the complex nonlinear geomet…
Computer Science (9 works) · Social Media and Politics (6 works) · Sociology (6 works) · Artificial Intelligence (4 works) · Data science (4 works) · Political science (4 works) · Graph (3 works) · Hate Speech and Cyberbullying Detection (3 works) · Misinformation and Its Impacts (3 works) · Politics (3 works)