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Bias in Filipino Newspapers? Newspaper Sentiment Analysis of the 2017 Battle of Marawi

机译:菲律宾报纸偏见? 2017年马拉维战役的报纸情感分析

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Newspapers provide factual reports on current events. However, news media has been shown to be ideologically biased, often negatively shaping the readers' point of view. News on controversial issues makes the bias of the newspaper or its writers more visible. This study aims to measure the objectivity of newspapers by classifying news articles from three newspaper agencies covering the 2017 Battle of Marawi in Southern Philippines. We used Aylien Sentiment Analysis Tool to detect the bias or polarity in each news article (whether positive, negative or neutral). Negative articles on Marawi dominated the three broadsheets (45.1% to 59.9%) while the neutral articles were the least frequent (16.1% to 21.2%). These results indicate that newspapers apply unequal space on the different sides of an issue, which may lead to unbalanced reporting. We also note that despite the varying number of total articles, the three papers applied the same proportion of positive, negative and neutral articles, which may imply collusion. The emergence of Big Data greatly increases the speed of gathering news articles on any given issue, while the Internet of Things enables readers and journalists to measure the objectivity of the news.
机译:报纸提供关于当前事件的事实报告。然而,新闻媒体已被证明是思想偏见的,通常是负面地塑造读者的观点。有争议的问题的新闻使报纸的偏差或其作家更加明显。本研究旨在通过分类来自菲律宾南部Marawi战役的三个报纸机构的新闻文章来衡量报纸的客观性。我们使用Aylien情绪分析工具来检测每个新闻文章中的偏差或极性(是否是积极,负或中性)。 Marawi的否定文章主导了三个广角(45.1%至59.9%),而中性物品是最常用的(16.1%至21.2%)。这些结果表明,报纸在问题的不同方面施加不平等的空间,这可能导致报告不平衡。我们还指出,尽管总物品数量不同,但三篇论文施加了相同的阳性,阴性和中性物品比例,这可能意味着勾结。大数据的出现大大提高了在任何给定问题上收集新闻文章的速度,而互联网使读者和记者能够衡量新闻的客观性。

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