scholarly journals Pandemics, Protests, and Publics

Author(s):  
Sarah Shugars ◽  
Adina Gitomer ◽  
Stefan McCabe ◽  
Ryan J. Gallagher ◽  
Kenneth Joseph ◽  
...  

As an integral component of public discourse, Twitter is among the main data sources for scholarship in this area. However, there is much that scholars do not know about the basic mechanisms of public discourse on Twitter, including the prevalence of various modes of communication, the types of posts users make, the engagement those posts receive, or how these things vary with user demographics and across different topical events. This paper broadens our understanding of these aspects of public discourse. We focus on the first nine months of 2020, studying that period as a whole and giving particular attention to two monumentally important topics of that time: the Black Lives Matter movement and the COVID-19 pandemic. Leveraging a panel of 1.6 million Twitter accounts matched to U.S. voting records, we examine the demographics, activity, and engagement of 800,000 American adults who collectively posted nearly 300 million tweets during this time span. We find notable variation in user activity and engagement, in terms of modality (e.g., retweets vs. replies), demographic subgroup, and topical context. We further find that while Twitter can best be understood as a collection of interconnected publics, neither topical nor demographic variation perfectly encapsulates the "Twitter public." Rather, Twitter publics are fluid, contextual communities which form around salient topics and are informed by demographic identities. Together, this paper presents a disaggregated, multifaceted description of the demographics, activity, and engagement of American Twitter users in 2020.

2020 ◽  
Author(s):  
Aleksandra Urman ◽  
Stefania Ionescu ◽  
David Garcia ◽  
Anikó Hannák

BACKGROUND Since the beginning of the COVID-19 pandemic, scientists have been willing to share their results quickly to speed up the development of potential treatments and/or a vaccine. At the same time, traditional peer-review-based publication systems are not always able to process new research promptly. This has contributed to a surge in the number of medical preprints published since January 2020. In the absence of a vaccine, preventative measures such as social distancing are most helpful in slowing the spread of COVID-19. Their effectiveness can be undermined if the public does not comply with them. Hence, public discourse can have a direct effect on the progression of the pandemic. Research shows that social media discussions on COVID-19 are driven mainly by the findings from preprints, not peer-reviewed papers, highlighting the need to examine the ways medical preprints are shared and discussed online. OBJECTIVE We examine the patterns of medRxiv preprint sharing on Twitter to establish (1) whether the number of tweets linking to medRxiv increased with the advent of the COVID-19 pandemic; (2) which medical preprints were mentioned on Twitter most often; (3) whether medRxiv sharing patterns on Twitter exhibit political partisanship; (4) whether the discourse surrounding medical preprints among Twitter users has changed throughout the pandemic. METHODS The analysis is based on tweets (n=557,405) containing links to medRxriv preprint repository that were posted between the creation of the repository in June 2019 and June 2020. The study relies on a combination of statistical techniques and text analysis methods. RESULTS Since January 2020, the number of tweets linking to medRxiv has increased drastically, peaking in April 2020 with a subsequent cool-down. Before the pandemic, preprints were shared predominantly by users we identify as medical professionals and scientists. After January 2020, other users, including politically-engaged ones, have started increasingly tweeting about medRxiv. Our findings indicate a political divide in sharing patterns of the top-10 most-tweeted preprints. All of them were shared more frequently by users who describe themselves as Republicans than by users who describe themselves as Democrats. Finally, we observe a change in the discourse around medRxiv preprints. Pre-pandemic tweets linking to them were predominantly using the word “preprint”. In February 2020 “preprint” was taken over by the word “study”. Our analysis suggests this change is at least partially driven by politically-engaged users. Widely shared medical preprints can have a direct effect on the public discourse around COVID-19, which in turn can affect the societies’ willingness to comply with preventative measures. This calls for an increased responsibility when dealing with medical preprints from all parties involved: scientists, preprint repositories, media, politicians, and social media companies. CONCLUSIONS Widely shared medical preprints can have a direct effect on the public discourse around COVID-19, which in turn can affect the societies’ willingness to comply with preventative measures. This calls for an increased responsibility when dealing with medical preprints from all parties involved: scientists, preprint repositories, media, politicians, and social media companies.


2014 ◽  
Vol 39 (2) ◽  
Author(s):  
Christopher Buschow ◽  
Beate Schneider ◽  
Simon Ueberheide

Abstract“Social TV”, described as the use of social media such as Twitter or Facebook stimulated by TV programs, is highly topical in the television industry. Communication research has fallen behind in addressing this issue. In this paper we explore the simultaneous communication activities of Twitter users while watching TV. Additionally, we tested whether different TV programs stimulate different communication activities. The main findings of our quantitative content analysis of approximately 30,000 messages show that communication within the Twitter community as well as evaluations of shows and actors are the main subjects of the explored tweets. We also found that different TV programs evoke different communication activities. While talent shows produce expressions of fandom and critiques of the candidates in the show, live events evoke a critical debate about the show itself and what’s happening on screen. Political talk shows can stimulate a public discourse.


Author(s):  
Luan Nguyen

On May 25th, 2020, George Floyd’s death sparked an international outrage that embroils all extremes of the political, ethical, legal, and historical discourse on racist policing practices. Yet, there are STEM professionals who refrain from public and political discussions simply because they believe that these discussions are irrelevant to their professions. The purpose of this article is to call on those who have remained silent to speak out in support of the Black Lives Matter, specifically those scientific and engineering professionals who practice the “culture of disengagement” from politics and public discourse, for silence equates complicity when it comes to racism.


2021 ◽  
Vol 6 (2) ◽  
pp. 275-283
Author(s):  
Edy Prihantoro ◽  
Rizky Wulan Ramadhani

#BlackLivesMatter accompanies several cases of discrimination against the black community. The hashtag was spread by actors who have great influences on Twitter users. The actors create communication network which connected to each other to form opinions about the Black Lives Matter movement. Researchers conducted a study to determine the distribution of #BlackLivesMatter at the actor level for the period 20-27 April 2021 in Twitter. The study used quantitative methods and a positivistic paradigm with a Social Network Analysis (SNA) approach. The results show that the actor with the highest degree of centrality is @jeanmessiha with 238 interactions, the actor with the highest betweenness centrality is @helloagain0611 with a value of 0.000049, the actor with the highest eigenvector centrality is @jeanmessiha with a value of 1 and there are 1,416 actors who have closeness centrality. # BlackLivesMatter has a low diameter value so that it spreads quickly but not too widely, not much reciprocity occurs, not concentrated in one dominant cluster but spread widely in several clusters. The actors play a role in spreading diverse opinions regarding Black Lives Matter, thus creating free discussion in several clusters on Twitter. Opinion widely spread on Twitter creates public opinion regarding the Black Lives Matter movement.


2019 ◽  
Vol 11 (1) ◽  
pp. 19-34 ◽  
Author(s):  
Susanne Becken ◽  
Ali Reza Alaei ◽  
Ying Wang

Purpose Destination monitoring is crucial to understand performance and identify key points of differentiation. Visitor satisfaction is an essential driver of destination performance. With the fast-growing volume of user-generated content through social media, it is now possible to tap into very large amounts of data provided by travellers as they share their experiences. Analysing these data for consumer sentiment has become attractive for destinations and companies. The idea of drawing on social media sentiment for satisfaction monitoring aligns well with the broader move towards smart destinations and real-time information processing. Thus, this paper aims to examine whether the electronic word of mouth originating from Twitter posts offers a useful source for assessing destination sentiment. Importantly, this research examines what caveats need to be considered when interpreting the findings. Design/methodology/approach This research focusses on a prominent tourist destination situated on Australia’s East Coast, the Gold Coast. Using a geographically informed filtering process, a collection of tweets posted from within the Gold Coast destination was created and analysed. Metadata were analysed to assess the population of Twitter users, and sentiment analysis, using the Valence Aware Dictionary for Sentiment Reasoning algorithm, was performed. Findings Twitter posts provide considerable information, including about who is visiting and what sentiment visitors and residents express when sending tweets from a destination. They also uncover some challenges, including the “noise” of Twitter data and the fact that users are not representative of the broader population, in particular for international visitors. Research limitations/implications This paper highlights limitations such as lack of representativeness of the Twitter data, positive bias and the generic nature of many tweets. Suggestions for how to improve the analysis and value of tweets as a data source are made. Practical implications This paper contributes to understanding the value of non-traditional data sources for destination monitoring, in particular by highlighting some of the pitfalls of using information sources, such as Twitter. Further research steps have been identified, especially with a view to improving target-specific sentiment scores and the future employment of big-data approaches that involve integrating multiple data sources for destination performance monitoring. Social implications The identification of cost-effective ways of measuring and monitoring guest satisfaction can lead to improvements in destination management. This in turn will enhance customer experience and possibly even resident satisfaction. The social benefits, especially at times of considerable visitation pressure, can be important. Originality/value The use of Twitter data for the monitoring of visitor sentiment at tourist destinations is novel, and the analysis presented here provides unique insights into the potential, but also the caveats, of developing new, smart systems for tourism.


2021 ◽  
Vol 118 (50) ◽  
pp. e2116310118
Author(s):  
Dominik Hangartner ◽  
Gloria Gennaro ◽  
Sary Alasiri ◽  
Nicholas Bahrich ◽  
Alexandra Bornhoft ◽  
...  

Despite heightened awareness of the detrimental impact of hate speech on social media platforms on affected communities and public discourse, there is little consensus on approaches to mitigate it. While content moderation—either by governments or social media companies—can curb online hostility, such policies may suppress valuable as well as illicit speech and might disperse rather than reduce hate speech. As an alternative strategy, an increasing number of international and nongovernmental organizations (I/NGOs) are employing counterspeech to confront and reduce online hate speech. Despite their growing popularity, there is scant experimental evidence on the effectiveness and design of counterspeech strategies (in the public domain). Modeling our interventions on current I/NGO practice, we randomly assign English-speaking Twitter users who have sent messages containing xenophobic (or racist) hate speech to one of three counterspeech strategies—empathy, warning of consequences, and humor—or a control group. Our intention-to-treat analysis of 1,350 Twitter users shows that empathy-based counterspeech messages can increase the retrospective deletion of xenophobic hate speech by 0.2 SD and reduce the prospective creation of xenophobic hate speech over a 4-wk follow-up period by 0.1 SD. We find, however, no consistent effects for strategies using humor or warning of consequences. Together, these results advance our understanding of the central role of empathy in reducing exclusionary behavior and inform the design of future counterspeech interventions.


2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Morteza Karimzadeh

<p><strong>Abstract.</strong> It is difficult to quantify how &amp;ndash; and to what extent &amp;ndash; the public engages with events in other countries. Twitter users all over the globe post more than 500 million tweets every day. They also discuss places in their tweets. Therefore, Twitter provides a lens through which geographic research can investigate public discourse as it relates to place. Further, many research studies use geo-tagged posts on Twitter (and social media in general) to sense the society in particular locations (according to geo-tags) for various purposes that may need a “local sense” such as sentiment analysis, situational awareness for crisis response, election prediction, or targeted advertising. However, it is unclear to what extent the online discourse by users are about local events versus events in other locations or countries.</p><p>In this pilot study, we visualize and characterize relations between places mentioned in Twitter posts and places where users live to identify whether Twitter users in different countries engage more with domestic or international (or transnational) events. We also visualize the extent to which places in other countries are being discussed through online platforms/social media. The results have implications for the design of algorithms in geographic information science attempting to automatically geolocate places mentioned in tweets for use in sentiment or spatial analysis, situational awareness, and advertisement. Additionally, most place names are ambiguous and refer to more than one location. For example, London can refer to London, Texas or London in England. Our analysis gauge whether Twitter users’ profile locations can be used to disambiguate places that are mentioned in their tweets.</p>


2018 ◽  
Vol 60 (2) ◽  
pp. 169-189 ◽  
Author(s):  
Kyle Findlay ◽  
Ockert Janse van Rensburg

This article summarizes our work using a network-based approach to mapping the main constituencies discussing specific topics on Twitter. The approach gives researchers unique insight into the main groups involved and their agendas. While the individual pieces of the methodology are not new, the way in which we combine them will be novel to many market researchers. By connecting Twitter users that interact with each other into an “interaction network” or “conversation map” and using community detection algorithms to isolate distinct groups, we are able to identify the main constituencies discussing a specific topic such as a national election. Once the main constituencies have been identified, it is possible to profile them in more detail such as in terms of their demographics, their influencers, and the type of content that resonates with them. This article specifically focuses on roughly one million tweets about the 2014 South African national election to illustrate our approach. The authors believe that the approach described has wide-ranging applications and that it can be used to give researchers unprecedented insight into the public discourse surrounding specific topics and events. This article is adapted from an earlier article presented at the 2015 Southern African Marketing Research Association’s (SAMRA) annual conference.


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