HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Fairness, Bias, and Research Governance / Fairness, Bias, and Representation in News and Media

Users are easily misled by news images and struggle to accurately understand political news content.

lightbulbPractical problemFairness, Bias, and Representation in News and Media

Users are easily misled by news images and struggle to accurately understand political news content.

CSCW '24Exploring the Impact of AI-Generated Images on the Perception and Understanding of Political News

Similar questions

lightbulbPractical problemFairness, Bias, and Representation in News and Media

Readers struggle to identify implicit bias in news, which may affect decision-making.

CHI '25BIASsist: Empowering News Readers via Bias Identification, Explanation, and Neutralization

lightbulbPractical problemFairness, Bias, and Representation in News and Media

Collaboration barriers among roles in journalism hinder AI-driven news innovation.

CHI '25"It Might be Technically Impressive, But It’s Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

lightbulbPractical problemFairness, Bias, and Representation in News and Media

Polarized content on social media makes it harder for users to make objective decisions.

CHI '25Assessing Susceptibility Factors of Confirmation Bias in News Feed Reading

lightbulbPractical problemFairness, Bias, and Representation in News and Media

Readers struggle to detect selective and framing bias in news reporting and are easily misled.

CHI '25Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage

lightbulbPractical problemFairness, Bias, and Representation in News and Media

Journalists struggle to quickly verify the authenticity of deepfake video content.

CHI '24Dungeons & Deepfakes: Using scenario-based role-play to study journalists' behavior towards using AI-based verification tools for video content

lightbulbPractical problemFairness, Bias, and Representation in News and Media

The public struggles to accurately understand social media's impact on mental health through media.

CSCW '23“Headlines rarely soothe nerves”: An Analysis of News Coverage on Social Media and Mental Health Research

Related papers

BIASsist: Empowering News Readers via Bias Identification, Explanation, and Neutralization

Yeo-Gyeong Noh, MinJu Han, Junryeol Jeon

"It Might be Technically Impressive, But It’s Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

Qing Xiao, Xianzhe Fan, Felix M. Simon

Assessing Susceptibility Factors of Confirmation Bias in News Feed Reading

Nattapat Boonprakong, Saumya Pareek, Benjamin Tag

Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage

Jenny S Wang, Samar Haider, Amir Tohidi

Dungeons & Deepfakes: Using scenario-based role-play to study journalists' behavior towards using AI-based verification tools for video content

Saniat Sohrawardi, Matthew Wright, Yijing Kelly Wu

NewsComp: Facilitating Diverse News Reading through Comparative Annotation

Md Momen Bhuiyan, Sang Won Lee, Nitesh Goyal

Understanding Journalists' Workflows in News Curation

Shubham Atreja, Shruthi Srinath, Mohit Jain

Birds of a Feather Don't Fact-check Each Other: Partisanship and the Evaluation of News in Twitter's Birdwatch Crowdsourced Fact-checking Program

Jennifer Allen, Cameron Martel, David Rand

Re-imagining the Power of Priming and Framing Effects in the Context of Political Crowdfunding Campaigns

Sanorita Dey, Brittany R.L. Duff, Karrie Karahalios

Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content

Yixue Wang, Nicholas Diakopoulos