scholarly journals Social media polarization and echo chambers: A case study of COVID-19 (Preprint)

2021 ◽  
Author(s):  
Julie Jiang ◽  
Xiang Ren ◽  
Emilio Ferrara

UNSTRUCTURED During 2020, social media chatter has been largely dominated by the COVID-19 pandemic. In this paper, we study the extent of polarization of COVID-19 discourse on Twitter in the U.S. First, we propose Retweet-BERT, a scalable and highly accurate model for estimating user polarity by leveraging language features and network structures. Then, by analyzing the user polarity predicted by Retweet-BERT, we provide new insights into the characterization of partisan users. Right-leaning users, we find, are noticeably more vocal and active in the production and consumption of COVID-19 information. Our analysis also shows that most of the highly influential users are partisan, which may contribute to further polarization. Crucially, we provide empirical evidence that political echo chambers are prevalent, exacerbating the exposure to information in line with pre-existing users' views. Our findings have broader implications in developing effective public health campaigns and promoting the circulation of factual information online.

JMIRx Med ◽  
10.2196/29570 ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. e29570
Author(s):  
Julie Jiang ◽  
Xiang Ren ◽  
Emilio Ferrara

Background Social media chatter in 2020 has been largely dominated by the COVID-19 pandemic. Existing research shows that COVID-19 discourse is highly politicized, with political preferences linked to beliefs and disbeliefs about the virus. As it happens with topics that become politicized, people may fall into echo chambers, which is the idea that one is only presented with information they already agree with, thereby reinforcing one’s confirmation bias. Understanding the relationship between information dissemination and political preference is crucial for effective public health communication. Objective We aimed to study the extent of polarization and examine the structure of echo chambers related to COVID-19 discourse on Twitter in the United States. Methods First, we presented Retweet-BERT, a scalable and highly accurate model for estimating user polarity by leveraging language features and network structures. Then, by analyzing the user polarity predicted by Retweet-BERT, we provided new insights into the characterization of partisan users. Results We observed that right-leaning users were noticeably more vocal and active in the production and consumption of COVID-19 information. We also found that most of the highly influential users were partisan, which may contribute to further polarization. Importantly, while echo chambers exist in both the right- and left-leaning communities, the right-leaning community was by far more densely connected within their echo chamber and isolated from the rest. Conclusions We provided empirical evidence that political echo chambers are prevalent, especially in the right-leaning community, which can exacerbate the exposure to information in line with pre-existing users’ views. Our findings have broader implications in developing effective public health campaigns and promoting the circulation of factual information online.


2020 ◽  
Author(s):  
Kathrin Cresswell ◽  
Ahsen Tahir ◽  
Zakariya Sheikh ◽  
Zain Hussain ◽  
Andrés Domínguez Hernández ◽  
...  

UNSTRUCTURED We here report on an exploratory analysis of the suitability of AI-enabled social media analysis of Facebook and Twitter to understand public perceptions of COVID-19 contact tracing apps in the UK. We extracted over 10,000 relevant social media posts and analysed these over an eight month period, from 1st of March to 31st of October 2020. Overall, we observed 76% positive and 12% negative sentiments, and discuss how the government's decision to move from a centralised to a decentralised contact-tracing model is likely to have influenced sentiment trends. In doing so, we demonstrate how AI-enabled social media analysis of public attitudes in healthcare can help to facilitate the implementation of effective public health campaigns.


Author(s):  
J. J. Sylvia IV ◽  
Kyle Moody

The issue of Russian interference in the 2016 U.S. Presidential election has been widely debated by scholars and journalists. However, these works have not fully analyzed the ads that have been released by Facebook and the U.S. Congress. This project uses a case study to analyze the ads posted by the Russian-affiliated Internet Research Agency, considering the quantities of ads targeted to particular geographic locations, the frequency of targeting for unique keywords, and the reach and impressions of each of the ads. Further, these results are compared to results from best practices in traditional social media campaigns as a way to better understand the goals and potential impacts of the IRA ads. In conclusion, the project, by analyzing the full set of IRA ads, sheds new light on the way false information narratives were leveraged by the Russian-linked IRA.


2012 ◽  
pp. 1824-1837 ◽  
Author(s):  
Leila Sadeghi ◽  
Steve Ressler ◽  
Andrew Krzmarzick

This chapter examines the growing literature on e-government and Web 2.0 with particular attention to online collaborative platforms, such as GovLoop, that complement government. The authors present a thorough background to the topic of Web 2.0 in e-government and present numerous examples of how these technologies are used across government both in the U.S. and globally. This chapter explores two main areas: first, how Web 2.0 and social media are being used as a vehicle to enhance e-government, and second, to present a case study of GovLoop, which is a collaborative social media platform designed to complement the work of government. GovLoop provides those working within and external to government—citizens, government employees, academics, non-profit professionals and contractors—with the ability to share information and collaborate on issues of public benefit. The chapter presents a starting point for future research on how Web 2.0 is changing the very nature of e-government and service delivery, and how governments are in a unique position to utilize these tools to expand collaboration and openness with their communities.


Author(s):  
Todd R. Burton

Potential leaders within marginalized communities find it difficult to connect, learn, strategize, and support one another and build a cohesive community capable of effecting social change. This research contributes to filling a gap in empirical research on effective approaches to employing social media tools to organize and engage in social movements. The research builds on earlier studies of marginalized communities and social media to organize and engages in social movements by applying a case study design to assess how the lesbian, gay, bisexual, and transgender (LGBT) military community employed social media to organize and advocate for inclusion and end discrimination within the U.S. armed forces. Seventeen findings were identified that describe key ways the LGBT military community employed these tools to organize, identify leaders and their roles, and how online behavior affected offline advocacy.


2000 ◽  
Vol 27 (5) ◽  
pp. 591-615 ◽  
Author(s):  
Kim Witte ◽  
Mike Allen

The fear appeal literature is examined in a comprehensive synthesis using meta-analytical techniques. The meta-analysis suggests that strong fear appeals produce high levels of perceived severity and susceptibility, and are more persuasive than low or weak fear appeals. The results also indicate that fear appeals motivate adaptive danger control actions such as message acceptance and maladaptive fear control actions such as defensive avoidance or reactance. It appears that strong fear appeals and high-efficacy messages produce the greatest behavior change, whereas strong fear appeals with low-efficacy messages produce the greatest levels of defensive responses. Future directions and practical implications are provided.


2019 ◽  
Author(s):  
Lilian Chan ◽  
Blythe O'Hara ◽  
Philayrath Phongsavan ◽  
Adrian Bauman ◽  
Becky Freeman

BACKGROUND Mass media campaigns for public health are increasingly using digital media platforms, such as web-based advertising and social media; however, there is a lack of evidence on how to best use these digital platforms for public health campaigns. To generate this evidence, appropriate campaign evaluations are needed, but with the proliferation of digital media–related metrics, there is no clear consensus on which evaluation metrics should be used. Public health campaigns are diverse in nature, so to facilitate analysis, this review has selected tobacco control campaigns as the scope of the study. OBJECTIVE This literature review aimed to examine how tobacco control campaigns that use traditional and digital media platforms have been evaluated. METHODS Medicine and science databases (Medical Literature Analysis and Retrieval System Online [MEDLINE], EMBASE, PsycINFO, Cumulative Index to Nursing and Allied Health Literature [CINAHL], and Scopus), and a marketing case study database (World Advertising Research Center) were searched for articles published between 2013 and 2018. Two authors established the eligibility criteria and reviewed articles for inclusion. Individual campaigns were identified from the articles, and information on campaigns and their evaluations were supplemented with searches on Google, Google Scholar, and social media platforms. Data about campaign evaluations were tabulated and mapped to a conceptual framework. RESULTS In total, 17 campaigns were included in this review, with evaluations reported on by 51 articles, 17 marketing reports, and 4 grey literature reports. Most campaigns were from English-speaking countries, with behavioral change as the primary objective. In the process evaluations, a wide range of metrics were used to assess the reach of digital campaign activities, making comparison between campaigns difficult. Every campaign in the review, except one, reported some type of engagement impact measure, with website visits being the most commonly reported metric (11 of the 17 campaigns). Other commonly reported evaluation measures identified in this review include engagement on social media, changes in attitudes, and number of people contacting smoking cessation services. Of note, only 7 of the 17 campaigns attempted to measure media platform attribution, for example, by asking participants where they recalled seeing the campaign or using unique website tracking codes for ads on different media platforms. CONCLUSIONS One of the key findings of this review is the numerous and diverse range of measures and metrics used in tobacco control campaign evaluations. To address this issue, we propose principles to guide the selection of digital media–related metrics for campaign evaluations, and also outline a conceptual framework to provide a coherent organization to the diverse range of metrics. Future research is needed to specifically investigate whether engagement metrics are associated with desired campaign outcomes, to determine whether reporting of engagement metrics is meaningful in campaign evaluations.


Author(s):  
Leila Sadeghi ◽  
Steve Ressler ◽  
Andrew Krzmarzick

This chapter examines the growing literature on e-government and Web 2.0 with particular attention to online collaborative platforms, such as GovLoop, that complement government. The authors present a thorough background to the topic of Web 2.0 in e-government and present numerous examples of how these technologies are used across government both in the U.S. and globally. This chapter explores two main areas: first, how Web 2.0 and social media are being used as a vehicle to enhance e-government, and second, to present a case study of GovLoop, which is a collaborative social media platform designed to complement the work of government. GovLoop provides those working within and external to government—citizens, government employees, academics, non-profit professionals and contractors—with the ability to share information and collaborate on issues of public benefit. The chapter presents a starting point for future research on how Web 2.0 is changing the very nature of e-government and service delivery, and how governments are in a unique position to utilize these tools to expand collaboration and openness with their communities.


Author(s):  
Semi Yeom

Today, adolescent learners are exposed to deepfakes from online news to social media. They need data literacy—being able to pose questions about data, extract relevant information, and evaluate claims about data—to retrieve factual information and take informed actions. However, not many students in the U.S. are equipped with data literacy to detect deepfakes. This chapter examines existing practices for teaching and assessing data literacy and suggests best practices for supporting adolescent learners in attaining data literacy. This chapter also discusses the future steps needed to implement these best practices in the classroom so that young learners can mitigate the impacts of deepfakes in their lives.


Sign in / Sign up

Export Citation Format

Share Document