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Large Language Models (LLMs) have created opportunities for designing chatbots that can support complex question-answering (QA) scenarios and improve news audience engagement. However, we still lack an understanding of what roles journalists and readers ...

• Repetitive debunking measures are imperative to combat misinformation, but misperceptions may interfere with the effectiveness.

Misinformation exposure has attracted growing scholarly attention. While much research highlights misinformation exposure’s negative impacts, this study argues that its positive effects should also be noted. By using a more precise ...

Using the context of the 2021 U.S. Capitol riot, an attack on the U.S Congress that was in response to the alleged voter fraud perpetuated by high profile Republicans, this study sought to uncover the differences in content memory (...

• Disinformation news content is recalled at a similar rate as content that is factually correct.

Accurate prediction of oil consumption plays a dominant role in oil supply chain management. However, because of the effects of the coronavirus disease 2019 (COVID-19) pandemic, oil consumption has exhibited an uncertain and volatile trend, which ...

With the improvement of residents' consumption level, consumers' demand for all kinds of imported consumer goods has gradually increased, but its quality problem can not be ignored. The quality governance of consumer goods is particularly important, ...

Stock market prediction is a difficult problem that has always attracted researchers from different domains. Recently, different studies using text mining and machine learning methods were proposed. However, the efficiency of these methods is ...

Online news websites face an increasing amount of hateful reactions of readers, and reactive attempts at enabling more civil discourse, such as moderation, do not prove sufficient. In this study, we propose a proactive approach to counter anti-...

Older adults are part of a significant proportion of the global population and given the rapid advancements of a digital society, the use of technologies by this age group is growing at a fast pace. However, technological products still overlook ...

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 ...$\mathrm{}$$\mathrm{}$

Many crime reports are available online in various blogs and Newswire. Though manual annotation of these massive reports is quite tedious for crime data analysis, it gives an overall crime scenario of all over the world. This motivates us to ...

Comments on the news articles can affect people's perceptions and behaviors. However, little is known about how people determine the degree of bias (DoB) of comments on political news articles. To address such bias issues, current platforms of news ...

Research indicates that using social network sites as a source for news increases perceived knowledge even if, objectively, people fail to acquire knowledge. This might result from the frequent repetition of topics in news posts caused ...

• Many news posts make people feel more knowledgeable than they are.
• Only ...

As online news today is an important source of political information and available in vast quantities, understanding its use and its impact on citizens' political knowledge is vital. The aim of the present study is to identify ...

• Six online news usage patterns identified.
• Identification based on motivations, ...

This empirical study aims to determine whether online media coverage can be used to gather intelligence on specific crimes worldwide. The quality of online news is evaluated as an indicator of the worldwide distribution of jewelry ...

• Online news can be used to gather forensic intelligence about phenomena which are well covered by the media.

• This paper presented a business event-extraction approach from online Chinese news.

Extracting events from business news aids users to perceive market trends, be aware of competitors’ strategies, and to make valuable investment decisions. Prior research lacks event extraction in the area of business and event based ...

As the market of globally available online news is large and still growing, there is a strong competition between online publishers in order to reach the largest possible audience. Therefore an intelligent online publishing strategy is of the highest ...

On social network sites (SNS), people are increasingly confronted with news contenteven if they have not actively been looking for it. Although it is widely recognized that SNS have become a main driver for such incidental news exposure, we know little ...

This study examines how social media metrics, as compared to the credibility of news organizations, affect online news evaluations. In a 22 between-subjects experiment (N=202), participants read a news story that was reported either by a high ...

Using online comments posted on news stories as the context, this research used two experiments to assess the influence of online comments on people's emotions as well as on their perceptions of others' emotions. Study 1 (N=301) showed that people ...

Content personalization is a long-standing problem for online news services. In most personalization approaches users of a news service are represented by topical interest profiles that are matched with news articles in order to properly decide which ...