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20152026
most citedGenerative AI

1.3k citations · 3.2k across the 145 of their papers we have counts for

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13 papers · 1 filter

cs.SI2024★ 3 cited

Generative AI may backfire for counterspeech

Dominik Bär, Abdurahman Maarouf, Stefan Feuerriegel

Online hate speech poses a serious threat to individual well-being and societal cohesion. A promising solution to curb online hate speech is counterspeech. Counterspeech is aimed a…

cs.SI2024★ 3 cited

Comparing the willingness to share for human-generated vs. AI-generated fake news

Amirsiavosh Bashardoust, Stefan Feuerriegel, Yash Raj Shrestha

Generative artificial intelligence (AI) presents large risks for society when it is used to create fake news. A crucial factor for fake news to go viral on social media is that use…

cs.SI2023★ 2 cited

Analyzing User Characteristics of Hate Speech Spreaders on Social Media

Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel

Hate speech on social media threatens the mental and physical well-being of individuals and contributes to real-world violence. Resharing is an important driver behind the spread o…

cs.SI2023★ 21 cited

Systematic discrepancies in the delivery of political ads on Facebook and Instagram

Dominik Bär, Francesco Pierri, Gianmarco De Francisci Morales +1

Political advertising on social media has become a central element in election campaigns. However, granular information about political advertising on social media was previously u…

cs.SI2023★ 1 cited

Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine

Dominique Geissler, Stefan Feuerriegel

The 2022 Russian invasion of Ukraine was accompanied by a large-scale, pro-Russian propaganda campaign on social media. However, the strategy behind the dissemination of propaganda…

cs.SI2023★ 24 cited

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…

cs.SI2022★ 14 cited

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…

cs.SI2022★ 28 cited

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…

cs.SI2022★ 6 cited

Analyzing Social Media Activities at Bellingcat

Dominik Bär, Fausto Calderon, Michael Lawlor +3

Open-source journalism emerged as a new phenomenon in the media ecosystem, which uses crowdsourcing to fact-check and generate investigative reports for world events using open sou…

cs.SI2022★ 1 cited

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…

cs.SI2022★ 3 cited

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…

cs.SI2022★ 5 cited

Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler

Johannes Jakubik, Michael Vössing, Dominik Bär +2

The storming of the U.S. Capitol on January 6, 2021 has led to the killing of 5 people and is widely regarded as an attack on democracy. The storming was largely coordinated throug…

cs.SI2022★ 22 cited

Detecting False Rumors from Retweet Dynamics on Social Media

Christof Naumzik, Stefan Feuerriegel

False rumors are known to have detrimental effects on society. To prevent the spread of false rumors, social media platforms such as Twitter must detect them early. In this work, w…