Recent studies have alarmed that many online hate speeches are implicit. With its subtle nature, the explainability of detection such hateful speech has been a challenging problem. In this work, we examine whether ChatGPT can be used for providing natural language explanations (NLEs) implicit detection. We design our prompt to elicit concise ChatGPT-generated NLEs and conduct user evaluate their qualities by comparison with human-written NLEs. discuss potential limitations in context research.

We present a preliminary but groundbreaking study of the media landscape Twitter. use public data on whom follows who to uncover common behaviour in consumption, relationship between various classes media, and diversity content which social links may bring. Our analysis shows that there is non-negligible amount indirect exposure, either through friends follow particular sources, or via retweeted messages. show exposure expands political news users are exposed surprising extent, increasing...

Online social media platforms generally attempt to mitigate hateful expressions, as these comments can be detrimental the health of community. However, automatically identifying challenging. We manually label 5,143 expressions posted YouTube and Facebook videos among a dataset 137,098 from an online news media. then create granular taxonomy different types targets hate train machine learning models detect classify in full dataset. Our contribution is twofold: 1) creating for that includes...

The Middle East respiratory syndrome coronavirus (MERS-CoV) was exported to Korea in 2015, resulting a threat neighboring nations. We evaluated the possibility of using digital surveillance system based on web searches and social media data monitor this MERS outbreak. collected number daily laboratory-confirmed cases quarantined from May 11, 2015 June 26, Korean government portal. trends observed via Google search Twitter during same time period were also ascertained Trends Topsy....

Contemporary media systems are in transition. The constellation of organizations, groups, and individuals contributing information to national international news flows has changed as a result the digital transformation. “hybrid system” proven be one most instructive concepts addressing this change. Its focus on mutually dependent interconnections between various types actors, publics inspired prolific research. Yet concept can tempt researchers sidestep systematic analyses actors’ differing...

A growing number of people are changing the way they consume news, replacing traditional physical newspapers and magazines by their virtual online versions or/and weblogs. The interactivity immediacy present in news being produced exposed media corporations. News websites have to create effective strategies catch people's attention attract clicks. In this paper we investigate possible used corporations design headlines. We analyze content 69,907 headlines four major global during a minimum...

We develop a methodology to automate creating imaginary people, referred as personas, by processing complex behavioral and demographic data of social media audiences. From popular account containing more than 30 million interactions viewers from 198 countries engaging with 4,200 online videos produced global corporation, we demonstrate that our has several novel accomplishments, including: (a) identifying distinct user segments based on the content consumption patterns; (b) impactful...

We evaluate the effects of topics social media posts on audiences across five platforms (i.e., Facebook, Instagram, Twitter, YouTube, and Reddit) at four levels user engagement. collected 3,163,373 from 53 news organizations during an 8month period. analyzed differences in organization platform strategies by focusing topic variations corresponding effect engagement levels. Findings show that distribution varies platform, although there are some popular most platforms. User vary both Finally,...

In this research, we conceptually examine the use of personas in an age large-scale online analytics data. Based on criticism and benefits outlined prior work by practitioners working with data, formulate major arguments for against given real-time data about customers, analyze these arguments, demonstrate areas productive employment data-driven leveraging their creation. Our key tenet is that are located between aggregated individual customer statistics. At best, digital capture coverage...

A growing number of people are changing the way they consume news, replacing traditional physical newspapers and magazines by their virtual online versions or/and weblogs. The interactivity immediacy present in news being produced exposed media corporations. News websites have to create effective strategies catch people’s attention attract clicks. In this paper we investigate possible used corporations design headlines. We analyze content 69,907 headlines four major global during a minimum...

Traditional media outlets are known to report political news in a biased way, potentially affecting the beliefs of audience and even altering their voting behaviors. Therefore, tracking bias everyday building platform where people can receive balanced information is important. We propose model that maps sources along dimensional dichotomous spectrum using co-subscriptions relationships inferred by Twitter links. By analyzing 7 million follow links, we show dichotomy naturally arises on when...

ChatGPT, the first large language model with mass adoption, has demonstrated remarkableperformance in numerous natural tasks. Despite its evident usefulness, evaluatingChatGPT's performance diverse problem domains remains challenging due to closednature of and continuous updates via Reinforcement Learning from HumanFeedback (RLHF). We highlight issue data contamination ChatGPT evaluations, a case study stance detection. discuss challenge preventing ensuring fair evaluation age closed...

Abstract The emergence of generative AI has sparked substantial discussions, with the potential to have profound impacts on society in all aspects. As emerging technologies continue advance, it is imperative facilitate their proper integration into society, managing expectations and fear. This paper investigates users’ perceptions using 3M posts Twitter from January 2019 March 2023, especially focusing occupation usage. We find that people across various occupations, not just IT-related...

To bring their innovative ideas to market, those embarking in new ventures have raise money, and, do so, they often resorted banks and venture capitalists. Nowadays, an additional option: that of crowdfunding. The name refers the idea funds come from a network people on Internet who are passionate about supporting others' projects. One most popular crowdfunding sites is Kickstarter. In it, creators post descriptions projects advertise them social media (mainly Twitter), while investors look...

One might think that, compared to traditional media, social media sites allow people choose more freely what read and share, especially for politically oriented news. However, reading sharing habits originate from deeply ingrained behaviors that be hard change. To test the extent which this is true, we propose a Political News Sharing (PoNS) model holistically captures four key aspects of psychology: gratification, selective exposure, socialization, trust & intimacy. Using real instances...

We develop a methodology for persona generation using real time social media data the distribution of products via online platforms. From large account containing more than 30 million interactions from users 181 countries engaging with 4,200 digital produced by global corporation, we demonstrate that our can first identify both distinct and impactful user segments then create descriptions automatically adding pertinent features, such as names, photos, personal attributes. validate approach...

In this research, we evaluate four widely used face detection tools, which are Face++, IBM Bluemix Visual Recognition, AWS Rekognition, and Microsoft Azure Face API, using multiple datasets to determine their accuracy in inferring user attributes, including gender, race, age. Results show that the tools generally proficient at determining with rates greater than 90%, except for Bluemix. Concerning only one of provides capability, an rate although evaluation was performed on a high-quality...

Online platforms, such as Facebook, Twitter, and Reddit, provide users with a rich set of features for sharing consuming political information, expressing opinions, exchanging potentially contrary views. In activities, two types communication spaces naturally emerge: those dominated by exchanges between politically homogeneous that allow encourage crosscutting in heterogeneous groups. While research on talk online environments abounds, we know surprisingly little about the varying nature...

Predicting the political bias and factuality of reporting entire news outlets are critical elements media profiling, which is an understudied but increasingly important research direction. The present level proliferation fake, biased, propagandistic content online has made it impossible to fact-check every single suspicious claim, either manually or automatically. Thus, been proposed profile look for those that likely publish fake biased content. This makes possible detect "fake news" moment...

The hypothesis of selective exposure assumes that people seek out information supports their views and eschew conflicts with beliefs, has negative consequences on our society. Few researchers have recently found counter evidence in social media: users are exposed to politically diverse articles. No work looked at what happens after exposure, particularly how individuals react such though. Users might well be articles but share only the partisan ones. To test this, we study sharing Facebook:...

In this research, we investigate if and how more photos than a single headshot can heighten the level of information provided by persona profiles. We conduct eye-tracking experiments qualitative interviews with variations in photos: headshot, images different contexts, pictures people representing key attributes. The results show that contextual significantly improve end users derive from profile; however, showing creates confusion lowers informativeness. Moreover, discover choice various...

Demographics, in particular, gender, age, and race, are a key predictor of human behavior. Despite the significant effect that demographics plays, most scientific studies using online social media do not consider this factor, mainly due to lack such information. In work, we use state-of-the-art face analysis software infer race from profile images 350K Twitter users New York. For period November 1, 2014 October 31, 2015, study which hashtags used by different demographic groups. Though find...