Jisun An's research while affiliated with Singapore Management University and other places

Publications (13)

Preprint
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False information spreads on social media, and fact-checking is a potential countermeasure. However, there is a severe shortage of resources of fact-checkers, and an efficient way to scale fact-checking is desperately needed, especially in pandemics like COVID-19. In this study, we focus on spontaneous debunking by social media users, which has bee...
Article
Full-text available
Although established marketing techniques have been applied to design more effective health campaigns, more often than not, the same message is broadcasted to large populations, irrespective of unique characteristics. As individual digital device use has increased, so have individual digital footprints, creating potential opportunities for targeted...
Article
Full-text available
While the coronavirus disease 2019 (COVID-19) pandemic wreaked havoc across the globe, we have witnessed substantial mis- and disinformation regarding various aspects of the disease. We conducted a cross-sectional study using a self-administered questionnaire for the general public (recruited via social media) and healthcare workers (recruited via...
Preprint
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The present level of proliferation of fake, biased, and propagandistic content online has made it impossible to fact-check every single suspicious claim or article, either manually or automatically. Thus, many researchers are shifting their attention to higher granularity, aiming to profile entire news outlets, which makes it possible to detect lik...
Preprint
UNSTRUCTURED While established marketing techniques have been applied to design more effective health campaigns, more often than not, the same message is broadcasted to large populations, irrespective of unique characteristics. As individual digital device usage has increased, so has individual digital footprints, creating potential opportunities f...
Preprint
Full-text available
Predicting the political bias and the factuality of reporting of entire news outlets are critical elements of media profiling, which is an understudied but an increasingly important research direction. The present level of proliferation of fake, biased, and propagandistic content online, has made it impossible to fact-check every single suspicious...
Preprint
Full-text available
In online social networks, it is common to use predictions of node categories to estimate measures of homophily and other relational properties. However, online social network data often lacks basic demographic information about the nodes. Researchers must rely on predicted node attributes to estimate measures of homophily, but little is known abou...
Preprint
Full-text available
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story. Our system displays news grouped into events and generates media profiles that show the general factuality of reporting, the degree of propagandistic content, hyper-partisanship, leading political ideology, general frame...
Preprint
Gender and racial diversity in the mediated images from the media shape our perception of different demographic groups. In this work, we investigate gender and racial diversity of 85,957 advertising images shared by the 73 top international brands on Instagram and Facebook. We hope that our analyses give guidelines on how to build a fully automated...
Conference Paper
We propose a novel method for generating personas based on online user data for the increasingly common situation of content creators distributing products via online platforms. We use non-negative matrix factorization to identify user segments and develop personas by adding personality such as names and photos. Our approach can develop accurate pe...
Conference Paper
We built a multiplex media attention and disregard network (MADN) among 129 countries over 212 days. By characterizing the MADN from multiple levels, we found that it is formed primarily by skewed, hierarchical, and asymmetric relationships. Also, we found strong evidence that our news world is becoming a "global village." However, at the same time...

Citations

... The proliferation of digital technology over the past two decades has enabled a far more granular approach to segmentation and targeting than was previously possible. Digital platforms, like Facebook and Google, allow audiences to be targeted based on multiple dimensions, including their interests, demographic characteristics, social networks, location, and online behaviors [3,4]. ...
... Students who reported receiving five COVID-19 training sessions had a 12% higher prevalence of anxiety. However, this contradicts what was found in a study by Doraiswamy S. et al. [64] and Reddy P. et al. [65], in which having a good level of knowledge about COVID-19 was associated with low levels of anxiety. ...
... However, doing this automatically while solely relying on text features is a very challenging task as previous work has shown (Baly et al., 2018(Baly et al., , 2020. It gets even more complicated when considering news sources where only limited amount of content is available for evaluation. ...
... Framing refers to representing different salient aspects and perspectives for the purpose of conveying the latent meaning about an issue (Entman, 1993). Recent work on automatically identifying media frames includes developing coding schemes and semi-automated methods (Boydstun et al., 2013), datasets such as the Media Frames Corpus (Card et al., 2015), and systems to automatically detect media frames (Liu et al., 2019;Zhang et al., 2019), large-scale automatic analysis of news articles (Kwak et al., 2020), and semi-supervised approaches (Cheeks et al., 2020). ...
... Here we add geographical information as the node properties to the network to extract meaningful patterns from the attention flow. While a strong regionalism has been found in news coverage [21], recent studies also report the 'global village' trend where several tens of countries exchange media attention beyond regional blocks [22]. Then, which of these views more accurately describes the media attention and the public attention captured in our data collection? ...
... LDA was utilized in two studies [4,6] to understand the viewing behavior of different demographic groups and develop user personas for a YouTube channel. In the two studies, the authors built LDA topic models to construct matrices (in combination with NMF). ...