52 citations · 173 across the 20 of their papers we have counts for
20 papers
Community corrections have divergent downstream effects across corrected accounts
Yuwei Chuai, Thomas Renault, Nicolas Pröllochs +2
Community-based fact-checking can reduce the spread of annotated misleading posts, but whether it produces lasting behavioral change among corrected authors remains unclear. Here,…
Asking Grok: AI-Assisted Sensemaking in Social Media Conversations
Michelle Bobek, Emma Demirel, Nicolas Pröllochs
LLM-powered AI assistants (e.g., Grok) are increasingly integrated into social media platforms, where they help explain content, provide context, and verify claims directly within…
Hiding Liker Identity Did Not Increase Engagement With Reputationally Risky Content on X (Formerly Twitter)
Yuwei Chuai, Manoel Horta Ribeiro, Gabriele Lenzini +1
In June 2024, X (formerly Twitter) made likes from public to private, offering a rare, platform-level opportunity to study how the visibility of engagement signals affects users' b…
Characterizing AI-Generated Misinformation on Social Media
Chiara Drolsbach, Emma Demirel, Nicolas Pröllochs
AI-generated misinformation (e.g., deepfakes) poses a growing threat to information integrity on social media. However, prior research has largely focused on its potential societal…
Content Moderation on Social Media in the EU: Insights From the DSA Transparency Database
Chiara Drolsbach, Nicolas Pröllochs
The Digital Services Act (DSA) requires large social media platforms in the EU to provide clear and specific information whenever they remove or restrict access to certain content.…
Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing
Bernhard Lutz, Marc Adam, Stefan Feuerriegel +2
Fake news on social media has large, negative implications for society. However, little is known about what linguistic cues make people fall for fake news and, hence, how to design…
Is Fact-Checking Politically Neutral? Asymmetries in How U.S. Fact-Checking Organizations Pick Up False Statements Mentioning Political Elites
Yuwei Chuai, Jichang Zhao, Nicolas Pröllochs +1
Political elites play an important role in the proliferation of online misinformation. However, an understanding of how fact-checking platforms pick up politicized misinformation f…
Did the Roll-Out of Community Notes Reduce Engagement With Misinformation on X/Twitter?
Yuwei Chuai, Haoye Tian, Nicolas Pröllochs +1
Developing interventions that successfully reduce engagement with misinformation on social media is challenging. One intervention that has recently gained great attention is X/Twit…
Community Notes vs. Snoping: How the Crowd Selects Fact-Checking Targets on Social Media
Moritz Pilarski, Kirill Solovev, Nicolas Pröllochs
Deploying links to fact-checking websites (so-called "snoping") is a common intervention that can be used by social media users to refute misleading claims. However, its real-world…
Believability and Harmfulness Shape the Virality of Misleading Social Media Posts
Chiara Drolsbach, Nicolas Pröllochs
Misinformation on social media presents a major threat to modern societies. While previous research has analyzed the virality across true and false social media posts, not every mi…
New threats to society from free-speech social media platforms
Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
In recent years, several free-speech social media platforms (so-called "alt-techs") have emerged, such as Parler, Gab, and Telegram. These platforms market themselves as alternativ…
Russian propaganda on social media during the 2022 invasion of Ukraine
Dominique Geissler, Dominik Bär, Nicolas Pröllochs +1
The Russian invasion of Ukraine in February 2022 was accompanied by practices of information warfare, yet existing evidence is largely anecdotal while large-scale empirical evidenc…
The Virality of Hate Speech on Social Media
Abdurahman Maarouf, Nicolas Pröllochs, Stefan Feuerriegel
Online hate speech is responsible for violent attacks such as, e.g., the Pittsburgh synagogue shooting in 2018, thereby posing a significant threat to vulnerable groups and society…
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
Nicolas Pröllochs, Stefan Feuerriegel
Social media platforms disseminate extensive volumes of online content, including true and, in particular, false rumors. Previous literature has studied the diffusion of offline ru…
Diffusion of Community Fact-Checked Misinformation on Twitter
Chiara Drolsbach, Nicolas Pröllochs
The spread of misinformation on social media is a pressing societal problem that platforms, policymakers, and researchers continue to grapple with. As a countermeasure, recent work…
Finding Qs: Profiling QAnon Supporters on Parler
Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
The social media platform "Parler" has emerged into a prominent fringe community where a significant part of the user base are self-reported supporters of QAnon, a far-right conspi…
Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning
Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann
Researchers and financial professionals require robust computerized tools that allow users to rapidly operationalize and assess the semantic textual content in financial news. Howe…
Reinforcement Learning in R
Nicolas Pröllochs, Stefan Feuerriegel
Reinforcement learning refers to a group of methods from artificial intelligence where an agent performs learning through trial and error. It differs from supervised learning, sinc…
Statistical Inferences for Polarity Identification in Natural Language
Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives. It is thus the mission of rese…
Understanding Negations in Information Processing: Learning from Replicating Human Behavior
Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
Information systems experience an ever-growing volume of unstructured data, particularly in the form of textual materials. This represents a rich source of information from which o…