Document Type
Conference Paper
Publication Date
2024
DOI
10.1145/3627673.3680260
Publication Title
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Pages
5455-5458
Conference Name
33rd ACM International Conference on Information and Knowledge Management, 21-25 October 2024, Boise, Idaho
Abstract
This study examines the intersection between social media and mainstream television (TV) news with an aim to understand how social media content amplifies its impact through TV broadcasts. While many studies emphasize social media as a primary platform for information dissemination, they often underestimate its total influence by focusing solely on interactions within the platform. This research examines instances where social media posts gain prominence on TV broadcasts, reaching new audiences and prompting public discourse. By using TV news closed captions, on-screen text recognition, and social media logo detection, we analyze how social media is referenced in TV news. Our methodology aims to analyze this data to develop metrics that quantify the extent of this amplification and understand the contexts in which social media is integrated into broadcast content.
Rights
© 2024 Copyright held by the owner/author.
This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Original Publication Citation
Jayanetti, H. R. (2024). Evaluating social media reach via mainstream media discourse. In, CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 5455-5458). Association for Computing Machinery. https://doi.org/10.1145/3627673.3680260
Repository Citation
Jayanetti, H. R. (2024). Evaluating social media reach via mainstream media discourse. In, CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 5455-5458). Association for Computing Machinery. https://doi.org/10.1145/3627673.3680260
ORCID
0000-0003-4748-9176 (Jayanetti)