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| http://dx.doi.org/10.1590/0004-282X-ANP-2020-0544 | DOI Listing |
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Public opinion mining in social media about Ethiopian broadcasts using deep learning.
Sci Rep
November 2024
Department of Information Technology, Debre Markos University, Debre Markos, Ethiopia.
Now adays people express and share their opinions on various events on the internet thanks to social media. Opinion mining is the process of interpreting user-generated opinion data on social media. Aside from its lack of resources in opinion-mining tasks, Amharic presents numerous difficulties because of its complex structure and variety of dialects.
View Article and Find Full Text PDFThis paper examines how conspiracy theories anchor affective communities through an analysis of the YouTube comment section for the actor and comedian turned political influencer Russell Brand. Comparing videos before and after Brand's shift to covid scepticism, I explore like counts, reply networks, and other commenting patterns in a dataset of 217,157 comments and conduct an in-depth analysis of 2000 top comments. The findings show first, a shift toward right-wing viewpoints; second, a reduction in comment length and comment replies alongside an increase in likes; third, a sharp rise in proclamations of Brand fandom; and fourth, a steep increase in references to conspiracy.
View Article and Find Full Text PDFUnderstanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content.
JMIR AI
June 2024
Department of Software and Information Systems, UNC Charlotte, Charlotte, NC, United States.
Background: The COVID-19 pandemic had a devastating global impact. In the United States, there were >98 million COVID-19 cases and >1 million resulting deaths. One consequence of COVID-19 infection has been post-COVID-19 condition (PCC).
View Article and Find Full Text PDFSentiment analysis of the Hamas-Israel war on YouTube comments using deep learning.
Sci Rep
June 2024
Department of Software Engineering, Debre Markos University, Debre Markos, Ethiopia.
Sentiment analysis aims to classify text based on the opinion or mentality expressed in a situation, which can be positive, negative, or neutral. Therefore, in the world, a lot of opinions are available on various social media sites, which must be gathered and analyzed to assess the general public's opinion. Finding and monitoring comments, as well as manually extracting the information contained in them, is a difficult task due to the vast diversity of ideas on YouTube.
View Article and Find Full Text PDFWhere do cross-cutting discussions happen?: Identifying cross-cutting comments on YouTube videos of political vloggers and mainstream news outlets.
PLoS One
May 2024
The Media School, Indiana University, Bloomington, Indiana, United States of America.
Since the conception of social media, research on political communication has pointed toward the risk that the social media environment can foster political echo chambers. However, this has recently been contradicted by some studies demonstrating "cross-cutting discussions" on social media. The current study extends this literature by particularly focusing on communication on political vlogger videos and having mainstream news outlet videos as a reference point.
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