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相关论文: Machine-Learning media bias

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Media coverage has a substantial effect on the public perception of events. Nevertheless, media outlets are often biased. One way to bias news articles is by altering the word choice. The automatic identification of bias by word choice is…

计算与语言 · 计算机科学 2022-01-25 Timo Spinde

Media coverage possesses a substantial effect on the public perception of events. The way media frames events can significantly alter the beliefs and perceptions of our society. Nevertheless, nearly all media outlets are known to report…

计算与语言 · 计算机科学 2021-12-20 Timo Spinde , Christina Kreuter , Wolfgang Gaissmaier , Felix Hamborg , Bela Gipp , Helge Giese

Slanted news coverage strongly affects public opinion. This is especially true for coverage on politics and related issues, where studies have shown that bias in the news may influence elections and other collective decisions. Due to its…

计算机与社会 · 计算机科学 2021-10-19 Felix Hamborg , Timo Spinde , Kim Heinser , Karsten Donnay , Bela Gipp

Media organizations bear great reponsibility because of their considerable influence on shaping beliefs and positions of our society. Any form of media can contain overly biased content, e.g., by reporting on political events in a selective…

计算与语言 · 计算机科学 2020-10-22 Wei-Fan Chen , Khalid Al-Khatib , Henning Wachsmuth , Benno Stein

Every day media generate large amounts of text. An unbiased view on media reports requires an understanding of the political bias of media content. Assistive technology for estimating the political bias of texts can be helpful in this…

社会与信息网络 · 计算机科学 2016-08-09 Felix Biessmann

The way the media presents events can significantly affect public perception, which in turn can alter people's beliefs and views. Media bias describes a one-sided or polarizing perspective on a topic. This article summarizes the research on…

计算与语言 · 计算机科学 2024-01-12 Timo Spinde , Smi Hinterreiter , Fabian Haak , Terry Ruas , Helge Giese , Norman Meuschke , Bela Gipp

Slanted news coverage, also called media bias, can heavily influence how news consumers interpret and react to the news. To automatically identify biased language, we present an exploratory approach that compares the context of related…

计算与语言 · 计算机科学 2021-12-15 Timo Spinde , Lada Rudnitckaia , Felix Hamborg , Bela Gipp

Search bias analysis is getting more attention in recent years since search results could affect In this work, we aim to establish an automated model for evaluating ideological bias in online news articles. The dataset is composed of news…

信息检索 · 计算机科学 2022-10-10 Gizem Gezici

We explore the task of predicting the leading political ideology or bias of news articles. First, we collect and release a large dataset of 34,737 articles that were manually annotated for political ideology -left, center, or right-, which…

计算与语言 · 计算机科学 2020-10-13 Ramy Baly , Giovanni Da San Martino , James Glass , Preslav Nakov

Biased news reporting poses a significant threat to informed decision-making and the functioning of democracies. This study introduces a novel methodology for scalable, minimally biased analysis of media bias in political news. The proposed…

人工智能 · 计算机科学 2025-05-06 Orlando Jähde , Thorsten Weber , Rüdiger Buchkremer

Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Many researchers focus on automatically detecting and…

计算机与社会 · 计算机科学 2021-05-21 Timo Spinde , Felix Hamborg , Karsten Donnay , Angelica Becerra , Bela Gipp

The news media shape public opinion, and often, the visual bias they contain is evident for human observers. This bias can be inferred from how different media sources portray different subjects or topics. In this paper, we model visual…

机器学习 · 计算机科学 2019-11-04 Christopher Thomas , Adriana Kovashka

Quantification of the political leaning of online news articles can aid in understanding the dynamics of political ideology in social groups and measures to mitigating them. However, predicting the accurate political leaning of a news…

机器学习 · 计算机科学 2023-09-13 Sadia Kamal , Jimmy Hartford , Jeremy Willis , Arunkumar Bagavathi

Media has a substantial impact on the public perception of events. A one-sided or polarizing perspective on any topic is usually described as media bias. One of the ways how bias in news articles can be introduced is by altering word…

计算与语言 · 计算机科学 2022-11-08 Timo Spinde , Jan-David Krieger , Terry Ruas , Jelena Mitrović , Franz Götz-Hahn , Akiko Aizawa , Bela Gipp

News articles both shape and reflect public opinion across the political spectrum. Analyzing them for social bias can thus provide valuable insights, such as prevailing stereotypes in society and the media, which are often adopted by NLP…

计算与语言 · 计算机科学 2022-11-08 Maximilian Spliethöver , Maximilian Keiff , Henning Wachsmuth

Mainstream media, through their decisions on what to cover and how to frame the stories they cover, can mislead readers without using outright falsehoods. Therefore, it is crucial to have tools that expose these editorial choices underlying…

News Articles provides crucial information about various events happening in the society but they unfortunately come with different kind of biases. These biases can significantly distort public opinion and trust in the media, making it…

计算与语言 · 计算机科学 2025-01-07 Bhushan Santosh Shah , Deven Santosh Shah , Vahida Attar

In this era of fake news and political polarization, it is desirable to have a system to enable users to access balanced news content. Current solutions focus on top down, server based approaches to decide whether a news article is fake or…

信息检索 · 计算机科学 2018-03-12 Anish Anil Patankar , Joy Bose , Harshit Khanna

Media plays an important role in shaping public opinion. Biased media can influence people in undesirable directions and hence should be unmasked as such. We observe that featurebased and neural text classification approaches which rely…

计算与语言 · 计算机科学 2020-10-22 Wei-Fan Chen , Khalid Al-Khatib , Benno Stein , Henning Wachsmuth

Mainstream news organizations shape public perception not only directly through the articles they publish but also through the choices they make about which topics to cover (or ignore) and how to frame the issues they do decide to cover.…

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