Reviewing interventions to address misinformation: the need to expand our vision beyond an individualistic focus

Z Aghajari, EPS Baumer, D DiFranzo - … of the ACM on Human-Computer …, 2023 - dl.acm.org
Prior work has identified a variety of factors that drive the way people identify and respond to
misinformation. Such factors include confirmation bias, perceived credibility of the …

Understanding the contribution of recommendation algorithms on misinformation recommendation and misinformation dissemination on social networks

R Pathak, F Spezzano, MS Pera - ACM Transactions on the Web, 2023 - dl.acm.org
Social networks are a platform for individuals and organizations to connect with each other
and inform, advertise, spread ideas, and ultimately influence opinions. These platforms have …

Viblio: Introducing credibility signals and citations to video-sharing platforms

EM Hughes, R Wang, P Juneja, TW Li, T Mitra… - Proceedings of the …, 2024 - dl.acm.org
As more users turn to video-sharing platforms like YouTube as an information source, they
may consume misinformation despite their best efforts. In this work, we investigate ways that …

A systematic review of automated hyperpartisan news detection

MJ Maggini, D Bassi, P Piot, G Dias, PG Otero - PloS one, 2025 - journals.plos.org
Hyperpartisan news consists of articles with strong biases that support specific political
parties. The spread of such news increases polarization among readers, which threatens …

Characterizing and predicting fake news spreaders in social networks

A Shrestha, F Spezzano - International journal of data science and …, 2022 - Springer
Due to its rapid spread over social media and the societal threat of changing public opinion,
fake news has gained massive attention. Users' role in disseminating fake news has …

Stop the [image] steal: The role and dynamics of visual content in the 2020 us election misinformation campaign

H Matatov, M Naaman, O Amir - Proceedings of the ACM on Human …, 2022 - dl.acm.org
Images are powerful. Visual information can attract attention, improve persuasion, trigger
stronger emotions, and is easy to share and spread. We examine the characteristics of the …

Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing

B Lutz, M Adam, S Feuerriegel, N Pröllochs… - Proceedings of the …, 2024 - dl.acm.org
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 …

Joint credibility estimation of news, user, and publisher via role-relational graph convolutional networks

A Shrestha, J Duran, F Spezzano, E Serra - ACM Transactions on the …, 2023 - dl.acm.org
The presence of fake news on online social media is overwhelming and is responsible for
having impacted several aspects of people's lives, from health to politics, the economy, and …

Do You Speak Disinformation? Computational Detection of Deceptive News-Like Content Using Linguistic and Stylistic Features

N Lebernegg, JM Eberl, P Tolochko… - Digital …, 2024 - Taylor & Francis
Amid growing concerns about the proliferation and belief in false or misleading information,
the study addresses the need for automated detection in the public domain. It revisits and …

An empirical analysis of intervention strategies' effectiveness for countering misinformation amplification by recommendation algorithms

R Pathak, F Spezzano - European Conference on Information Retrieval, 2024 - Springer
Social network platforms connect people worldwide, facilitating communication, information
sharing, and personal/professional networking. They use recommendation algorithms to …