Bots increase exposure to negative and inflammatory content in online social systems
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Abstract (arXiv)
Societies are complex systems which tend to polarize into sub-groups of individuals with dramatically opposite perspectives. This phenomenon is reflected -- and often amplified -- in online social networks where, however, humans are no more the only players, and co-exist alongside with social bots, i.e., software-controlled accounts. Analyzing large-scale social data collected during the Catalan referendum for independence on October 1, 2017, consisting of nearly 4 millions Twitter posts generated by almost 1 million users, we identify the two polarized groups of Independentists and Constitutionalists and quantify the structural and emotional roles played by social bots. We show that bots act from peripheral areas of the social system to target influential humans of both groups, bombarding Independentists with violent contents, increasing their exposure to negative and inflammatory narratives and exacerbating social conflict online. Our findings stress the importance of developing countermeasures to unmask these forms of automated social manipulation.
Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Feb 2018.
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Citing papers per year: 2021: 5; 2022: 4; 2023: 4; 2024: 5; 2025: 3; 2026: 5.
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- 2024Y Social: an LLM-powered Social Media Digital Twincited by 43
- 2021Machine learning dismantling and early-warning signals of disintegration in complex systemscited by 14
- 2023Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detectioncited by 13
- 2026The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societiescited by 9
- 2022Exposing Influence Campaigns in the Age of LLMs: A Behavioral-Based AI Approach to Detecting State-Sponsored Trollscited by 8
- 2023Demystifying Misconceptions in Social Bots Researchcited by 7
- 2021Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Languagecited by 6
- 2021Cognitive network science for understanding online social cognitions: A brief reviewcited by 5
- 2025AI Agent Behavioral Sciencecited by 5
- 2024IOHunter: Graph Foundation Model to Uncover Online Information Operationscited by 4
- 2021Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Studycited by 3
- 2022Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaignscited by 3
14 more
- 2022IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verificationcited by 3
- 2022MulBot: Unsupervised Bot Detection Based on Multivariate Time Seriescited by 3
- 2026LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallaciescited by 3
- 2021Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trustcited by 2
- 2023For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Strugglescited by 1
- 2024Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Researchcited by 1
- 2026Evaluating the Realism of LLM-powered Social Agents: A Case Study of Reactions to Spanish Online Newscited by 1
- 2023Discriminatory or Samaritan -- which AI is needed for humanity? An Evolutionary Game Theory Analysis of Hybrid Human-AI populationscited by 0
- 2024Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Framescited by 0
- 2024Evaluating the Propensity of Generative AI for Producing Harmful Disinformation During the 2024 US Election Cyclecited by 0
- 2025What is a Social Media Bot? A Global Comparison of Bot and Human Characteristicscited by 0
- 2025Public Discourse Sandbox: Facilitating Human and AI Digital Communication Researchcited by 0
- 2026Beyond Content: Behavioral Policies Reveal Actors in Information Operationscited by 0
- 2026Manufactured Divisiveness: Decomposing the Hostile Content of Seven Social Media Influence Operationscited by 0
- 2026Manufactured Divisiveness: Decomposing the Hostile Content of Seven Social Media Influence Operations16 Jul 2026
- 2026Evaluating the Realism of LLM-powered Social Agents: A Case Study of Reactions to Spanish Online News27 May 2026
- 2026LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies18 Apr 2026
- 2026The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societies7 Feb 2026
- 2026Beyond Content: Behavioral Policies Reveal Actors in Information Operations2 Feb 2026
- 2025AI Agent Behavioral Science4 Jun 2025
- 2025Public Discourse Sandbox: Facilitating Human and AI Digital Communication Research27 May 2025
- 2025What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics1 Jan 2025
- 2024IOHunter: Graph Foundation Model to Uncover Online Information Operations19 Dec 2024
- 2024Evaluating the Propensity of Generative AI for Producing Harmful Disinformation During the 2024 US Election Cycle9 Nov 2024
- 2024Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research4 Oct 2024
- 2024Y Social: an LLM-powered Social Media Digital Twin1 Aug 2024
14 more
- 2024Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames6 May 2024
- 2023For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles7 Jul 2023
- 2023Discriminatory or Samaritan -- which AI is needed for humanity? An Evolutionary Game Theory Analysis of Hybrid Human-AI populations30 Jun 2023
- 2023Demystifying Misconceptions in Social Bots Research30 Mar 2023
- 2023Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection17 Jan 2023
- 2022Exposing Influence Campaigns in the Age of LLMs: A Behavioral-Based AI Approach to Detecting State-Sponsored Trolls17 Oct 2022
- 2022MulBot: Unsupervised Bot Detection Based on Multivariate Time Series21 Sep 2022
- 2022IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification30 Aug 2022
- 2022Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns19 Jan 2022
- 2021Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study8 Dec 2021
- 2021Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Language13 Sep 2021
- 2021Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust29 Mar 2021
- 2021Cognitive network science for understanding online social cognitions: A brief review25 Feb 2021
- 2021Machine learning dismantling and early-warning signals of disintegration in complex systems7 Jan 2021
- 2024Y Social: an LLM-powered Social Media Digital Twincited by 43
- 2021Machine learning dismantling and early-warning signals of disintegration in complex systemscited by 14
- 2023Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detectioncited by 13
- 2026The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societiescited by 9
- 2022Exposing Influence Campaigns in the Age of LLMs: A Behavioral-Based AI Approach to Detecting State-Sponsored Trollscited by 8
- 2023Demystifying Misconceptions in Social Bots Researchcited by 7
- 2021Studying Fake News Spreading, Polarisation Dynamics, and Manipulation by Bots: a Tale of Networks and Languagecited by 6
- 2021Cognitive network science for understanding online social cognitions: A brief reviewcited by 5
- 2024IOHunter: Graph Foundation Model to Uncover Online Information Operationscited by 4
- 2021Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Studycited by 3
- 2022Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaignscited by 3
- 2022IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verificationcited by 3
12 most cited of 24 All 24 (JSON)
- 2026Manufactured Divisiveness: Decomposing the Hostile Content of Seven Social Media Influence Operations16 Jul 2026
- 2026LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies18 Apr 2026
- 2026The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societies7 Feb 2026
- 2026Beyond Content: Behavioral Policies Reveal Actors in Information Operations2 Feb 2026
- 2025Public Discourse Sandbox: Facilitating Human and AI Digital Communication Research27 May 2025
- 2025What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics1 Jan 2025
- 2024IOHunter: Graph Foundation Model to Uncover Online Information Operations19 Dec 2024
- 2024Evaluating the Propensity of Generative AI for Producing Harmful Disinformation During the 2024 US Election Cycle9 Nov 2024
- 2024Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research4 Oct 2024
- 2024Y Social: an LLM-powered Social Media Digital Twin1 Aug 2024
- 2024Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames6 May 2024
- 2023For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles7 Jul 2023
12 newest of 24 All 24 (JSON)