TY - GEN
T1 - Impact of Ecuadorian News Headlines Published on Facebook
T2 - 19th International Multidisciplinary Congress on Science and Technology, CIT 2024
AU - Lema, Roberto
AU - Recalde, Lorena
AU - Loza-Aguirre, Edison
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - The widespread availability of social networks has empowered media organizations to disseminate information and shape public opinion. However, this proliferation of content has raised concerns about the authors’ objectivity, ethics, and professionalism, potentially impacting the audience’s perception of reality. Particularly in socially significant news, the influence of news headlines and articles on platforms like Facebook cannot be underestimated, as they play a crucial role in framing societal narratives and influencing public discourse on important issues. In this study, we propose using a supervised machine learning model to analyze the sentiment conveyed in news headlines and articles published by the leading Ecuadorian newspapers on Facebook to assess its impact on the local audience. Our findings reveal an encouraging trend in digital journalism in the studied country, where neutrality principles are consistently upheld over sensationalism. This balanced approach preserves facts and truths and allows audience opinions to form independently.
AB - The widespread availability of social networks has empowered media organizations to disseminate information and shape public opinion. However, this proliferation of content has raised concerns about the authors’ objectivity, ethics, and professionalism, potentially impacting the audience’s perception of reality. Particularly in socially significant news, the influence of news headlines and articles on platforms like Facebook cannot be underestimated, as they play a crucial role in framing societal narratives and influencing public discourse on important issues. In this study, we propose using a supervised machine learning model to analyze the sentiment conveyed in news headlines and articles published by the leading Ecuadorian newspapers on Facebook to assess its impact on the local audience. Our findings reveal an encouraging trend in digital journalism in the studied country, where neutrality principles are consistently upheld over sensationalism. This balanced approach preserves facts and truths and allows audience opinions to form independently.
KW - BERT
KW - Facebook
KW - news headlines
KW - sentiment analysis
KW - social media journalism
KW - supervised classification
KW - transformers
UR - https://www.scopus.com/pages/publications/105021005463
U2 - 10.1007/978-3-031-87704-9_27
DO - 10.1007/978-3-031-87704-9_27
M3 - Contribución a la conferencia
AN - SCOPUS:105021005463
SN - 9783031877032
T3 - Lecture Notes in Networks and Systems
SP - 380
EP - 395
BT - Emerging Research in Intelligent Systems - Proceedings of the CIT 2024-Volume 1
A2 - Olmedo Cifuentes, Gonzalo Fernando
A2 - Arcos Avilés, Diego Gustavo
A2 - Lara Padilla, Hernán Vinicio
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 21 October 2024 through 25 October 2024
ER -