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- extended-abstractJune 2024
Analyzing the Interplay between Diversity of News Recommendations and Misinformation Spread in Social Media
UMAP Adjunct '24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and PersonalizationPages 80–85https://doi.org/10.1145/3631700.3664870Recommender systems play a crucial role in social media platforms, especially in the context of news, by assisting users in discovering relevant news. However, these systems can inadvertently contribute to increased personalization, and the formation of ...
- research-articleMarch 2024
Retweets Amplify the Echo Chamber Effect
ASONAM '23: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningPages 30–37https://doi.org/10.1145/3625007.3627485The growing prominence of social media in public discourse has led to a greater scrutiny of the quality of online information and the role it plays in amplifying political polarization. However, studies of polarization on social media platforms like ...
- short-paperMarch 2024
Echo Chambers within the Russo-Ukrainian War: The Role of Bipartisan Users
ASONAM '23: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningPages 154–158https://doi.org/10.1145/3625007.3627475The ongoing Russia-Ukraine war has been extensively discussed on social media. One commonly observed problem in such discourse is the emergence of echo chambers, where users are rarely exposed to opinions outside their own worldview. Prior literature on ...
- ArticleJuly 2023
Cumulative Polarization: Patterns of Accumulation of Neutral and Politicized Echo Chambers on Russian Twitter
AbstractOpinion cumulation on social networks has been widely researched upon; however, we still lack knowledge on its dynamics. In particular, political polarization that leads to echo chambering with democratically inefficient homophily of views is ...
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- research-articleFebruary 2023
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion
- Rishav Hada,
- Amir Ebrahimi Fard,
- Sarah Shugars,
- Federico Bianchi,
- Patricia Rossini,
- Dirk Hovy,
- Rebekah Tromble,
- Nava Tintarev
WSDM '23: Proceedings of the Sixteenth ACM International Conference on Web Search and Data MiningPages 33–41https://doi.org/10.1145/3539597.3570487Increasingly taking place in online spaces, modern political conversations are typically perceived to be unproductively affirming---siloed in so called "echo chambers" of exclusively like-minded discussants. Yet, to date we lack sufficient means to ...
- research-articleNovember 2022
Adherence to Misinformation on Social Media Through Socio-Cognitive and Group-Based Processes
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 6, Issue CSCW2Article No.: 488, Pages 1–35https://doi.org/10.1145/3555589Previous work suggests that people's preference for different kinds of information depends on more than just accuracy. This could happen because the messages contained within different pieces of information may either be well-liked or repulsive. Whereas ...
- research-articleOctober 2022
Dynamic Causal Collaborative Filtering
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementPages 2301–2310https://doi.org/10.1145/3511808.3557300Causal graph, as an effective and powerful tool for causal modeling, is usually assumed as a Directed Acyclic Graph (DAG). However, recommender systems usually involve feedback loops, defined as the cyclic process of recommending items, incorporating ...
- research-articleOctober 2022
Cascade-based Echo Chamber Detection
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementPages 1511–1520https://doi.org/10.1145/3511808.3557253Despite echo chambers in social media have been under considerable scrutiny, general models for their detection and analysis are missing. In this work, we aim to fill this gap by proposing a probabilistic generative model that explains social media ...
- research-articleJune 2022
When learning becomes impossible
FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and TransparencyPages 107–116https://doi.org/10.1145/3531146.3533078We formally analyze an epistemic bias we call interpretive blindness (IB), in which under certain conditions a learner will be incapable of learning. IB is now common in our society, but it is a natural consequence of Bayesian inference and what we ...
- keynoteJune 2022
On a Quest for Combating Filter Bubbles and Misinformation
SIGMOD '22: Proceedings of the 2022 International Conference on Management of DataPage 2https://doi.org/10.1145/3514221.3523275The advent of social networks and media has made it easier than ever for users to access up-to-date information as well as share news and views on matters of the world with many of their peers. Unfortunately, it has also led to increased societal ...
- research-articleJune 2022
Resource-Mediated Consensus Formation
SIGSIM-PADS '22: Proceedings of the 2022 ACM SIGSIM Conference on Principles of Advanced Discrete SimulationPages 105–112https://doi.org/10.1145/3518997.3534959In social sciences, simulating opinion dynamics to study the ways in which the interplay between homophily and influence leads to the formation of echo chambers is of great importance. Given the wide variety of empirical systems involving the grouping ...
- research-articleAugust 2022
Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection
WWW '22: Companion Proceedings of the Web Conference 2022Pages 448–457https://doi.org/10.1145/3487553.3524674News recommender systems are used by online news providers to alleviate information overload and to provide personalized content to users. However, algorithmic news curation has been hypothesized to create filter bubbles and to intensify users’ ...
- research-articleMarch 2022
Reading Between the Lies: A Classification Scheme of Types of Reply to Misinformation in Public Discussion Threads
CHIIR '22: Proceedings of the 2022 Conference on Human Information Interaction and RetrievalPages 243–253https://doi.org/10.1145/3498366.3505823Online misinformation is a fiendish problem. Demonstrably false information propagates faster and more widely than truth and this has heralded a technological arms race. One possible mechanism for addressing misinformation is social: there is evidence ...
- research-articleMarch 2022
Turn and Face the Strange: Investigating Filter Bubble Bursting Information Interactions
CHIIR '22: Proceedings of the 2022 Conference on Human Information Interaction and RetrievalPages 233–242https://doi.org/10.1145/3498366.3505822It is a ‘truth universally acknowledged’ that people prefer to minimize encounters with information they disagree with and ignore it where they find it. Algorithms purportedly support this avoidance by creating filter bubbles filled only with agreeable ...
- research-articleSeptember 2021
I Want to Break Free! Recommending Friends from Outside the Echo Chamber
RecSys '21: Proceedings of the 15th ACM Conference on Recommender SystemsPages 23–33https://doi.org/10.1145/3460231.3474270Recommender systems serve as mediators of information consumption and propagation. In this role, these systems have been recently criticized for introducing biases and promoting the creation of echo chambers and filter bubbles, thus lowering the ...
- research-articleAugust 2021
Preference Amplification in Recommender Systems
KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data MiningPages 805–815https://doi.org/10.1145/3447548.3467298Recommender systems have become increasingly accurate in suggesting content to users, resulting in users primarily consuming content through recommendations. This can cause the user's interest to narrow toward the recommended content, something we refer ...
- research-articleOctober 2020
Helping Users Tackle Algorithmic Threats on Social Media: A Multimedia Research Agenda
MM '20: Proceedings of the 28th ACM International Conference on MultimediaPages 4425–4434https://doi.org/10.1145/3394171.3414692Participation on social media platforms has many benefits but also poses substantial threats. Users often face an unintended loss of privacy, are bombarded with mis-/disinformation, or are trapped in filter bubbles due to over-personalized content. ...
- research-articleMarch 2020
We are the Change that we Seek: Information Interactions During a Change of Viewpoint
- Dana Mckay,
- Stephann Makri,
- Marisela Gutierrez-Lopez,
- Andrew MacFarlane,
- Sondess Missaoui,
- Colin Porlezza,
- Glenda Cooper
CHIIR '20: Proceedings of the 2020 Conference on Human Information Interaction and RetrievalPages 173–182https://doi.org/10.1145/3343413.3377975There has been considerable hype about filter bubbles and echo chambers influencing the views of information consumers. The fear is that these technologies are undermining democracy by swaying opinion and creating an uninformed, polarised populace. The ...
- research-articleMarch 2020
Curation Algorithms and Filter Bubbles in Social Networks
Do curation and personalization algorithms on social media create filter bubbles and increase content polarization?
Social platforms often use curation algorithms to match content to user tastes. Although designed to improve user experience, these algorithms have been blamed for increased polarization of consumed content. We analyze how curation algorithms impact the ...