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Visualizing Polarity-based Stances of News Websites

Masaharu Yoshioka, Myungha Jang, James Allan, Noriko Kando
2018 European Conference on Information Retrieval  
We propose a polarity-based stance (PS), a vector that represents how often a website publishes articles that are positive or negative with regard to a topic.  ...  We derive PS using the GDELT database and visualize the news websites' stances. We demonstrate the utility of our framework via a case study of the 2016 US Presidential Election.  ...  Polarity-based Stances We formally define a polarity-based stance, − → P S w , as a two-dimensional vector that denotes the stance of a website w.  ... 
dblp:conf/ecir/YoshiokaJAK18 fatcat:bwyct6htifehfbb7njmcyv34li

Interactive Visualization of the Polarity-based Stance of News Websites using News Genres (short paper)

Masaharu Yoshioka, Norihiko Tatsunami, Masahiko Itoh, Noriko Kando, James Allan
2021 ACM Conference on Recommender Systems  
In this paper, we propose a system for the interactive visualization of a website's polarity-based stance by representing the users' interests in terms of news genres and demonstrate the system using articles  ...  We have been working on a project that aims to characterize the stance of news websites.  ...  Visualization of the Polarity-based Stance Matrix using News Genres News-genre Polarity-based Stance Matrix To understand better the characteristics of a news website, it is useful to know its degree  ... 
dblp:conf/recsys/YoshiokaTIKA21 fatcat:biajne4i5zb7pfzk72kx7sftwi

To Kavanaugh or Not to Kavanaugh: That is the Polarizing Question [article]

Kareem Darwish
2018 arXiv   pre-print
In this paper, we examine whether the political polarization in the Senate is reflected among the general public. To do so, we analyze the views of more than 128 thousand Twitter users.  ...  We also examine characterestics of both groups.  ...  Further, we visualize users according to their similarity based on their hashtag usage, retweeted accounts, and cited websites. All our analysis show strong polarization between both camps.  ... 
arXiv:1810.06687v1 fatcat:wme7eyew3za35angm4d3v6vyea

Quantifying Polarization on Twitter: the Kavanaugh Nomination [article]

Kareem Darwish
2020 arXiv   pre-print
To do so, we accurately identify the stance of more than 128 thousand Twitter users towards Kavanaugh's nomination using both semi-supervised and supervised classification.  ...  Next, we quantify the polarization between the different groups in terms of who they retweet and which hashtags they use.  ...  Quantifying Polarization Quantifying polarization can help ascertain the degree to which users are separable based on their stances and how far apart they are.  ... 
arXiv:2001.02125v1 fatcat:6obvtgzherfffmfdiwfvvf4dqq

MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification [article]

Mingxuan Chen, Xinqiao Chu, K.P. Subbalakshmi
2021 arXiv   pre-print
We also propose a stance detection mechanism to annotate tweets into three levels of credibility: reliable, unreliable and inconclusive.  ...  We find that the proposed architecture has an F-Score of 0.919 and accuracy of 0.882 for fake news detection.  ...  We annotate the news dataset using two news website source checking filters and the tweets dataset based on stance detection.  ... 
arXiv:2109.06416v2 fatcat:r5u7hvktfvd7xg52iodplxmrd4

Sharing News Articles Using 140 Characters: A Diffusion Analysis on Twitter

D. Bhattacharya, S. Ram
2012 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining  
, their impact on the formation of opinions, and also for effectively detecting individual stances relative to specific news or topics.  ...  Finally we show an application of our data collection in the context of political stance classification and we suggest other potential usages of the presented resources.  ...  It includes a pipeline which automatically searches news articles based on the fact-checking activity of different organizations.  ... 
doi:10.1109/asonam.2012.170 dblp:conf/asunam/BhattacharyaR12 fatcat:wvq7bqxxmnh2piv63orn3tmheu

Overcoming polarization with chatbot news? Investigating the impact of news content containing opposing views on agreement and credibility

Brahim Zarouali, Mykola Makhortykh, Mariella Bastian, Theo Araujo
2020 European Journal of Communication  
on a news website.  ...  These results are discussed in the light of their potential contribution to an informed public discourse and a decrease in polarization in our society.  ...  In the light of these results, we can argue that that users are likely to perceive the conversational agent-based medium for incongruent news consumption as more credible than a website-based one.  ... 
doi:10.1177/0267323120940908 fatcat:hjuo7klfbbecxj6kkzep5qswme

Modelling engagement in a web-based advertising campaign

Sabine Tan
2010 Visual Communication  
Modelling Engagement in a Web-based Advertising Campaign SF-theory is 'a theory of meaning as choice, by which a language, or any other semiotic system, is interpreted as networks of interlocking options  ...  Within traditional SF-theory, interpersonal meaning is largely concerned with the propositional value accorded to verbal and/or visual representations, and the roles that speakers/writers adopt for themselves  ...  ACKNOWLEDGEMENTS The author extends special thanks to Theo van Leeuwen and the two anonymous reviewers for their helpful comments on an earlier version of this paper.  ... 
doi:10.1177/1470357209352949 fatcat:yxpqgzp45zeknfsucllkes3nme

A Survey on Predicting the Factuality and the Bias of News Media [article]

Preslav Nakov, Husrev Taha Sencar, Jisun An, Haewoon Kwak
2021 arXiv   pre-print
Source factuality is also an important element of systems for automatic fact-checking and "fake news" detection, as they need to assess the reliability of the evidence they retrieve online.  ...  We further discuss interesting recent advances in using different information sources and modalities, which go beyond the text of the articles the target news outlet has published.  ...  and visual elements of a news medium with others.  ... 
arXiv:2103.12506v1 fatcat:cpswzjj72nbx5ox3qykgmr2zpu

A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19 [article]

Ece Çiğdem Mutlu, Toktam A. Oghaz, Jasser Jasser, Ege Tütüncüler, Amirarsalan Rajabi, Aida Tayebi, Ozlem Ozmen, Ivan Garibay
2020 arXiv   pre-print
To the best of our knowledge, COVID-CQ is the first data set of Twitter users' stances in the context of the COVID-19 pandemic, and the largest Twitter data set on users' stances towards a claim, in any  ...  In this work, we present a stance data set, COVID-CQ, of user-generated content on Twitter in the context of COVID-19.  ...  Acknowledgments The authors gratefully thank Mina Sonbol and Nicholas Wiesenthal who assisted in the annotation and analysis of the data set.  ... 
arXiv:2009.01188v2 fatcat:izekbqeennfgbk6s3jyquh7abe

Analysis of Speeches in Indian Parliamentary Debates [article]

Sakala Venkata Krishna Rohit, Navjyoti Singh
2018 arXiv   pre-print
Based on thorough manual analysis of the debates, we developed an annotation scheme of 4 mutually exclusive categories to analyze the purpose of the speeches: to find out ISSUES, to BLAME, to APPRECIATE  ...  In this paper, we provide a dataset for the synopsis of Indian parliamentary debates and perform stance classification of speeches i.e identifying if the speaker is supporting the bill/issue or against  ...  Future Work In future, we would like to increase the size of the dataset by including sessions of previous years which are not yet digitized.  ... 
arXiv:1808.06834v1 fatcat:wmtxempqq5amxhluqr3ukijtlq

Comparing Target Sets for Stance Detection: A Case Study on YouTube Comments on Death Penalty

Michael Wojatzki, Torsten Zesch
2018 Conference on Natural Language Processing  
Thus, we collect a new dataset of YouTube comments on the death penalty and annotate it with stance based on two target sets: (i) one expert set extracted from idebate.com and (ii) one representing the  ...  Our analysis shows that the composition of target sets is an important and non-trivial subtask of stance and sentiment analysis, which is worth investing efforts in.  ...  For future attempts on creating aspect-based sentiment or stance datasets, the results highlight that the composition of target sets is a crucial subtask of stance detection and aspect based sentiment  ... 
dblp:conf/konvens/WojatzkiZ16a fatcat:p2vilrxc7nhazniojiamgowg6u

VaccinEU: COVID-19 vaccine conversations on Twitter in French, German and Italian

Marco Di Giovanni, Francesco Pierri, Christopher Torres-Lugo, Marco Brambilla
2022 arXiv   pre-print
We study the role of online social media in influencing individuals' opinion towards getting vaccinated by designing a large-scale collection of Twitter messages in three different languages -- French,  ...  Despite the increasing limitations for unvaccinated people, in many European countries there is still a non-negligible fraction of individuals who refuse to get vaccinated against SARS-CoV-2, undermining  ...  Acknowledgments This work has been partially supported by the PRIN grant HOPE (FP6, Italian Ministry of Education), and the EU H2020 research and innovation programme, COVID-19 call, under grant agreement  ... 
arXiv:2201.06293v2 fatcat:7hez7f4mpba7nbdxz6llyn533a

#MaskOn! #MaskOff! Digital polarization of mask-wearing in the United States during COVID-19

Jun Lang, Wesley W Erickson, Zhuo Jing-Schmidt
2021 PLoS ONE  
This study examined the types, themes, temporal trends, and exchange patterns of hashtags about mask wearing posted from March 1 to August 1, 2020 by Twitter users based in the United States.  ...  Notwithstanding the limitations of the research, this study provides a nuanced account of the digital polarization of public opinion on mask wearing.  ...  Acknowledgments We thank Vsevolod Kapatsinski for his comments on an earlier draft of this paper. We thank Thomas E. Payne and Eric Pederson for helping with the classification of the hashtags.  ... 
doi:10.1371/journal.pone.0250817 pmid:33909669 pmcid:PMC8081244 fatcat:uox7siuvwrdbvadr6b4ulholjm

Appraising Computing Self-Efficacy Emotions across a 5-Week Multimedia Authoring Project

C. A. DeCoursey, C. Bernal Sati
2016 International Journal of Psychological Studies  
This study of 58 medical students in Saudi Arabia used Appraisal analysis of weekly written personal responses to gain a comprehensive overview of emotions elicited during five weeks' instruction on website-building  ...  Overall, most positive-negative pairs do not behave correlatively, some persist where others progress, and incidence is a better guide than polarity to an attitude's significance.  ...  In this case, polarity tends to reflect how well-integrated the new experience is.  ... 
doi:10.5539/ijps.v8n2p95 fatcat:zu4r4qzy6zeglgx2jpbzahdmha
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