Classifying Policy Issue Frame Bias in Philippine Online News

Media plays an important role in disseminating news to the public [1, 14]. However, the selection of what information to write about, how information is presented, and when it is broadcasted are within the control of the media outlet. Media can therefore shape the consumers’ opinion based on how pub...

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Main Authors: Dela Cruz, Jose Mari Luis M., Estuar, Ma. Regina Justina
Format: text
Published: Archīum Ateneo 2023
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Online Access:https://archium.ateneo.edu/discs-faculty-pubs/366
https://doi.org/10.1007/978-3-031-43129-6_7
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Institution: Ateneo De Manila University
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spelling ph-ateneo-arc.discs-faculty-pubs-13662024-02-21T05:14:13Z Classifying Policy Issue Frame Bias in Philippine Online News Dela Cruz, Jose Mari Luis M. Estuar, Ma. Regina Justina Media plays an important role in disseminating news to the public [1, 14]. However, the selection of what information to write about, how information is presented, and when it is broadcasted are within the control of the media outlet. Media can therefore shape the consumers’ opinion based on how publicly available news [1, 9] contents are published. Framing bias occurs when the author selects and highlights aspects of the news [8]. This study developed a model to classify the policy issue frames in select Philippine online news articles. Media Frame Corpus [5] was tested on the classification of policy issue frames using supervised learning methods including Bidirectional Encoder Representations from Transformers (BERT), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), linear support vector machine (SVM), and logistic regression (LR). Results showed that the BERT model performed best with an accuracy of 74.73% with political frame (Frame 13) and economic frame (Frame 1) as leading policy issue frames. Implementing the MFC-BERT classification model on the Philippine dataset shows that there is a dominant policy issue frame across all selected media outlets. However, there is a significant difference in the usage of policy issue frames among these media outlets except for the Fairness and Equality frame (Frame 4) and the Quality of Life frame (Frame 10). Initially, ambiguous topics among media outlets when observed over time exhibit noticeable policy issue framing bias. However, a gradual transition to having similar policy issue frames among most media outlets occurred to these topics, similar to the unambiguous topics. 2023-01-01T08:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/366 https://doi.org/10.1007/978-3-031-43129-6_7 Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Framing Philippine Online News Media Policy Issue Frames Text Classification Communication Computer Engineering Electrical and Computer Engineering Engineering Journalism Studies Social and Behavioral Sciences
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Framing
Philippine Online News Media
Policy Issue Frames
Text Classification
Communication
Computer Engineering
Electrical and Computer Engineering
Engineering
Journalism Studies
Social and Behavioral Sciences
spellingShingle Framing
Philippine Online News Media
Policy Issue Frames
Text Classification
Communication
Computer Engineering
Electrical and Computer Engineering
Engineering
Journalism Studies
Social and Behavioral Sciences
Dela Cruz, Jose Mari Luis M.
Estuar, Ma. Regina Justina
Classifying Policy Issue Frame Bias in Philippine Online News
description Media plays an important role in disseminating news to the public [1, 14]. However, the selection of what information to write about, how information is presented, and when it is broadcasted are within the control of the media outlet. Media can therefore shape the consumers’ opinion based on how publicly available news [1, 9] contents are published. Framing bias occurs when the author selects and highlights aspects of the news [8]. This study developed a model to classify the policy issue frames in select Philippine online news articles. Media Frame Corpus [5] was tested on the classification of policy issue frames using supervised learning methods including Bidirectional Encoder Representations from Transformers (BERT), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), linear support vector machine (SVM), and logistic regression (LR). Results showed that the BERT model performed best with an accuracy of 74.73% with political frame (Frame 13) and economic frame (Frame 1) as leading policy issue frames. Implementing the MFC-BERT classification model on the Philippine dataset shows that there is a dominant policy issue frame across all selected media outlets. However, there is a significant difference in the usage of policy issue frames among these media outlets except for the Fairness and Equality frame (Frame 4) and the Quality of Life frame (Frame 10). Initially, ambiguous topics among media outlets when observed over time exhibit noticeable policy issue framing bias. However, a gradual transition to having similar policy issue frames among most media outlets occurred to these topics, similar to the unambiguous topics.
format text
author Dela Cruz, Jose Mari Luis M.
Estuar, Ma. Regina Justina
author_facet Dela Cruz, Jose Mari Luis M.
Estuar, Ma. Regina Justina
author_sort Dela Cruz, Jose Mari Luis M.
title Classifying Policy Issue Frame Bias in Philippine Online News
title_short Classifying Policy Issue Frame Bias in Philippine Online News
title_full Classifying Policy Issue Frame Bias in Philippine Online News
title_fullStr Classifying Policy Issue Frame Bias in Philippine Online News
title_full_unstemmed Classifying Policy Issue Frame Bias in Philippine Online News
title_sort classifying policy issue frame bias in philippine online news
publisher Archīum Ateneo
publishDate 2023
url https://archium.ateneo.edu/discs-faculty-pubs/366
https://doi.org/10.1007/978-3-031-43129-6_7
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