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Introducing COMM Corner!

An exclusive space for COMM students NOW OPEN

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UMD COMM Department Members Shine at NCA 2024!

Members of the COMM Department presented research and were recognized with awards at NCA!

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Register for Summer 2024 COMM Courses!

Satisfy a requirement AND stay on track for graduation. Register for Winter Session today! #KeepLearningUMD

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2024 Mark and Heather Rosenker Lecture featuring Joe Mazza

Joe Mazza presents "Enduring Words" for the 2024 Rosenker Lecture

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Global news media coverage of artificial intelligence (AI): A comparative analysis of frames, sentiments, and trends across 12 countries

New study on global news media coverage of AI

Communication

Author/Lead: Taufiq Ahmad
Dates:

This study examined the coverage of artificial intelligence (AI) in newspapers from 12 countries by analyzing news articles (N = 38,787) collected from 12 mainstream English newspapers, between 2010 and 2023. We used LDA topic modeling to identify prevalent frames in the news articles and SentiStrength to examine sentiments in the news headlines. Framing theory was applied in interpreting our results. Our analysis identified nine frames across newspapers: AI impacts on businesses, economy, and jobs (37.40 %), AI transformations in education and research (17.70 %), AI in national security and global partnerships (11.20 %), AI disruptions in media and creative industries (9.6 %), AI-based innovative solutions (7.30 %), AI regulations, ethics, and data privacy (6.40 %), AI competition and market dynamics in tech industries (4.90 %), AI in healthcare and climate change (3.47 %), and AI in politics, elections, and public opinion (2.03 %). A comparative analysis suggested that the Global North newspapers gave relatively lower coverage to AI-based innovative solutions and AI in healthcare and climate change while AI regulations, ethics, and data privacy and AI disruptions in media and creative industries received minimal coverage from the Global South newspapers. Our overall sentiment analysis indicated that 21.04 % of news headlines evoked negative, 13.33 % positive, and 65.63 % neutral sentiments. The Global North newspapers such as The Guardian and The NYT framed AI negatively in the 24 % of their news headlines, while the Global South newspapers such as China Daily and Bangkok Post framed AI positively in the 14.5 % of their news headlines.

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Temporal Tampering and “The Case for Reparations”

Analysis of Ta-Nehisi Coates's article “The Case for Reparations” published in Rhetoric and Public Affairs

Communication

Author/Lead: Andrew Boge
Dates:

This essay examines Ta-Nehisi Coates's article “The Case for Reparations” to illuminate how he uses inventive temporal strategies to transform the grounds of the reparations debate. I argue, Coates engages in a process of temporal tampering that involves meddling with dominant temporal structures (conceptions of time that serve white supremacy) to accommodate the excessiveness of anti-Black violence. Through tactics of timeline jumping and a rhetoric of repair, Coates draws on articulations of time as a resource to sabotage anti-reparations temporalities. Instead of approaching the reparations debate through stale discursive entry points, such as financial logistics, I reveal how Coates draws upon conceptions of time to reposition reparations as a mode of worldbuilding and social transformation.

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A social influence perspective toward employee-organization relationships: The role of relationship norms in employee peer networks

Study using a social influence perspective toward employee-organization relationships and relationship norms in employee peer networks published in Public Relations Review

Communication

Author/Lead: Yan Qu
Dates:

Employee-organization relationships (EORs) have been widely examined in the scholarship of internal public relations. While previous research has focused on organizational- and leadership-level factors that shape EORs, the influence of employees’ peer networks has not received much attention. Drawing from a social influence perspective, this study examines EORs as a product of normative influence within employees’ instrument and friendship networks—those networks composed of coworkers with whom employees share information or advice and those they consider friends. An egocentric online survey was conducted to examine the effects of EOR norms on employees’ EOR perceptions and how such normative influence is moderated by structural network characteristics (i.e., network size, relationship closeness, and network density). We found that employees’ EOR perceptions were highly consistent with the EORs of their instrument and friendship ties across all dimensions. Moreover, network size and relationship closeness were directly and positively associated with certain dimensions of EORs. Relationship closeness also played a moderator role for some dimensions of EOR. Our research findings suggest the importance of organizations creating a positive relationship environment and dynamics among employees.

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