Public Sphere 2.0: Targeted Commenting in Online News Media

Mullick, Ankan; Ghosh, Sayan; Dutt, Ritam; Ghosh, Avijit; Chakraborty, Abhijnan

doi:10.1007/978-3-030-15719-7_23

Cited by 10 publications

(12 citation statements)

References 19 publications

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“…To solve this problem, a line of research focuses on comment drifting [12,27] by utilizing the temporal nature of comments. The older an article is, the more commentators it has, and the probability of exposure to topic drift is higher [25]. This phenomenon influences the quality of comments and their relevance.…”

Section: Related Workmentioning

confidence: 99%

“…The work most related to ours attempts to automatically classify paragraphcomment agreement [25]. They labeled the data based on Likert scale categories [19], which is criticized for introducing bias.…”

Section: Related Workmentioning

confidence: 99%

“…Previous studies tried to remove the noise among comments by studying toxic comments [10,16], topic drifting [12,27], and understanding the quality of online news comments [7,11,25]. From NLP perspective, this problem is a supervised classification task to separate relevant from irrelevant comments.…”

Section: Introductionmentioning

confidence: 99%

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Stay on Topic, Please: Aligning User Comments to the Content of a News Article

Alshehri

Stanojević

Dragut

et al. 2021

Lecture Notes in Computer Science

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Social scientists have shown that up to 50% of the comments posted to a news article have no relation to its journalistic content. In this study we propose a classification algorithm to categorize user comments posted to a news article based on their alignment to its content. The alignment seeks to match user comments to an article based on similarity of content, entities in discussion, and topics. We propose a BERTAC, BERT-based approach that learns jointly article-comment embeddings and infers the relevance class of comments. We introduce an ordinal classification loss that penalizes the difference between the predicted and true labels. We conduct a thorough study to show influence of the proposed loss on the learning process. The results on five representative news outlets show that our approach can learn the comment class with up to 36% average accuracy improvement comparing to the baselines, and up to 25% comparing to the BA-BC. BA-BC is our approach that consists of two models aimed to capture dis-jointly the formal language of news articles and the informal language of comments. We also conduct a user study to evaluate human labeling performance to understand the difficulty of the classification task. The user agreement on comment-article alignment is "moderate" per Krippendorff's alpha score, which suggests that the classification task is difficult. Keywords: Text mining • Text classification • Online news • News comments • Relevancy • Understanding user-generated text J. Alshehri and M. Stanojevic-contributed equally.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Stay on Topic, Please: Aligning User Comments to the Content of a News Article

Alshehri

Stanojević

Dragut

et al. 2021

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…To further engage them, in addition to presenting news, online news platforms also allow readers to comment and share their points of view on the matter reported in stories. Irrespective of concerns about quality of the comments, especially their language and tone, comments are considered to be the most effective tool to increase reader engagements (Mullick., et Al., 2019).…”

Section: A Shift In Trust and News Consumptionmentioning

confidence: 99%

Online Journalism: Crowdsourcing, and Media Websites in an Era of Participation

Antonopoulos

Konidaris

Polykalas

et al. 2020

SMC

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The era of journalism and the participation of the readers on online media websites have changed online journalism. The research interest is now focused on removing the distinction between the publisher/entrepreneur and the journalist/user, with the ultimate goal of actively involving citizens in the journalistic process but also in the web presence of media websites. The evolution of technology, the deep media crisis and the growing dissatisfaction of the citizens, create the conditions for journalism to work with citizens, and in particular through citizen journalism and journalism crowdsourcing. This concept is a form of collective online activity in which a person or a group of people volunteer to engage in work that always involves mutual benefit to both sides. The main research question of this research concerns the analysis of the current situation regarding crowdsourcing, co-creation and UGC and the adoption of best practices such as crowdcreation, comments from the users, crowdwisdom, instant-messaging applications (MIMs) and crowdvoting used by media websites around the world. Very few media have tried to apply even nowadays, the proposed model of journalism, which this study is going to research. The results of the study shape new perspectives and practices for online journalism and democracy.

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“…Indian scholars have studied technical aspects such as automated news curation, user interaction, user deliberations, integration of mojo (mobile journalism) and data mining techniques. The Indian journalists experience the adoption of new media technologies, both enskilling and deskilling (Haneef, 2018) and data-driven user participation will increase user engagement (Mullick, 2019). This paper addresses the research gaps in terms of examining the utilization of the full potential of the internet by Indian regional news sites.…”

Section: Regional Journalism Adoption Of the Internet’s Potentialmentioning

confidence: 99%

Mediamorphosis of Regional Newspapers: Utilization of the Internet’s Potential by Kannada Media

Deepak

Rodrigues

Rani

2020

Asia Pacific Media Educator

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The advent of the internet has posed threats as well as offered new opportunities for the traditional news media industry. The innumerable potentials of the internet include instant delivery of news, multimedia content and other user-friendly features to media consumers. Since digital news consumption is proliferating in India, it is important to study how Indian regional newspapers have adapted to new media technological advancements. Using Zamith’s (2008. 9th International Symposium on Online Journalism, 1–8) methodological framework, we identify various potentials of the internet that can be utilized by the traditional media offering news online. The study examines the extent to which Indian regional news sites have incorporated these potentials—interactivity, hypertextuality, multimediality, immediacy, memory, personalization, ubiquity, creativity and other latest new media technologies. Roger Fidler’s ‘mediamorphosis theory’ is employed as a theoretical approach to examine how regional language newspapers are responding to technological advancements. The study looks at three news sites of the most circulated Kannada language (a regional language of Karnataka state) newspapers. Our study finds that Indian regional news sites only partially use the internet’s potentials and are unable to explore some of the internet’s features due to their rigid organizational policies and a lack of multiskilled workforce.

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Public Sphere 2.0: Targeted Commenting in Online News Media

Cited by 10 publications

References 19 publications

Stay on Topic, Please: Aligning User Comments to the Content of a News Article

Stay on Topic, Please: Aligning User Comments to the Content of a News Article

Online Journalism: Crowdsourcing, and Media Websites in an Era of Participation

Mediamorphosis of Regional Newspapers: Utilization of the Internet’s Potential by Kannada Media

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