scholarly journals How Do Partisans Consume News on Social Media? A Comparison of Self-Reports With Digital Trace Measures Among Twitter Users

2020 ◽  
Vol 6 (4) ◽  
pp. 205630512098103
Author(s):  
Jieun Shin

There are growing concerns that social media exacerbates the selective exposure of audience members to content that supports their political views. However, despite the hype, the existing literature does not fully address the extent to which social media users selectively consume like-minded news stories, in part due to different methodologies. In an attempt to move toward a common framework, this study examined the partisan selective exposure of a representative sample of Twitter users by combining survey data with digital trace data. Specifically, the study linked survey responses ( n = 558) from Twitter users with their media following and exposure to news via their friends. The study found that selectivity bias was present in all types of data, including self-reported media consumption (survey), media following (Twitter), and indirect exposure to media (Twitter). However, the study found some differences between self-reports and digital measures such that the overlaps in media diets between partisan groups were much larger based on the digital trace data than the self-reported data. In addition, the study observed an asymmetric pattern of selective exposure between conservatives and liberals in the digital trace data, but not in the self-reported data. The implications of these findings are discussed with reference to the contemporary news environment, hostile media effects, and normative assumptions of selective exposure.

2019 ◽  
pp. 089443931989624 ◽  
Author(s):  
Michael Henderson ◽  
Ke Jiang ◽  
Martin Johnson ◽  
Lance Porter

An important challenge for research on social media use is to relate users’ activity on these platforms to user characteristics such as demographics. Surveys allow researchers to measure these characteristics but may be subject to measurement error in self-reported social media use. We compare survey responses to observed behavior in order to assess the validity of self-reported frequency of posting to Twitter, retweeting content, sharing photos, sharing videos, and sending direct messages. Additionally, we examine correlations between self-reported and observed behavior across a range of time frames, from 1 month to 114 months before the survey. We find variation in the quality of self-reports across types of Twitter activity. We also find that self-reports about posting and retweeting tend to reflect recent activity, while self-reports about other activities tend to reflect behavior over a longer span. Furthermore, we find that two characteristics of experience with the platform—the length of time that a person has been active on Twitter and how much their activity on the platform changes over time—predict individual-level discrepancies between survey response and observed behavior, but these discrepancies cancel out when averaged across individuals. Nevertheless, other sources of bias remain. Taken together, our results indicate that while surveys are quite useful for collecting characteristics of social media users, relying on self-reported social media behavior distorts inferential results from what is found when relying on observed social media behavior.


2017 ◽  
Vol 4 (2) ◽  
pp. 205316801770299 ◽  
Author(s):  
Leticia Bode ◽  
Emily K. Vraga ◽  
Sonya Troller-Renfree

Selective exposure is a growing concern as people become more reliant on social media for political information. While self-reports often ask about exposure to political content on social media, existing research does not account for the fact that even those exposed to political content may still choose to ignore it. To effectively account for this, we employ corneal eye tracking software, such that we can observe users’ gaze and the amount of time they actually spend with political content. Consistent with expectations, the earlier a cue that a post is political, the faster a user skips over it. This trend is concentrated among those least interested in politics. Implications for how we think about social media and political information flows in the modern media environment are discussed.


2021 ◽  
Vol 9 ◽  
pp. 99-118
Author(s):  
Ludovic Terren ◽  
Rosa Borge-Bravo ◽  
◽  

There have been growing concerns regarding the potential impact of social media on democracy and public debate. While some theorists have claimed that ICTs and social media would bring about a new independent public sphere and increase exposure to political divergence, others have warned that they would lead to polarization through the formation of echo chambers. The issue of social media echo chambers is both crucial and widely debated. This article attempts to provide a comprehensive account of the scientific literature on this issue, shedding light on the different approaches, their similarities, differences, benefits, and drawbacks, and offering a consolidated and critical perspective that can hopefully support future research in this area. Concretely, it presents the results of a systematic review of 55 studies investigating the existence of echo chambers on social media, providing a first classification of the literature and identifying patterns across the studies’ foci, methods and findings. We found that conceptual and methodological choices influence the results of research on this issue. Most importantly, articles that found clear evidence of echo chambers on social media were all based on digital trace data. In contrast, those that found no evidence were all based on self-reported data. Future studies should take into account the possible biases of the different approaches and the significant potential of combining self-reported data with digital trace data.


2019 ◽  
Vol 38 (5) ◽  
pp. 567-583 ◽  
Author(s):  
Katherine Haenschen

Facebook has been credited with expanding political activity by simultaneously lowering barriers to participation and creating new ways to engage. However, many of these findings rely on subjects’ abilities to accurately report their Facebook use and political activity on the platform. This study combines survey responses and digital trace data from 828 American adults to determine whether subjects over- or underreport a range of political activities on Facebook, including whether they like political pages or share news links. The results show that individuals underestimate their frequency of status posting and overestimate their frequency of sharing news links on Facebook. Political interest is associated with a decrease in underreporting several political activities, while increasing the likelihood of overreporting the frequency of sharing news links. Furthermore, political interest serves a moderating effect, improving self-reports for high-volume users. The findings suggest that political interest not only predicts political activity but also shapes awareness of that activity and improves self-reports among heavy users.


2016 ◽  
Vol 7 (5) ◽  
pp. 819
Author(s):  
Okim Kang ◽  
Romy Ghanem

Studies have supported the belief that study abroad (SA) is more beneficial than studying domestically in developing oral proficiency (e.g., Freed, Segalowitz, & Dewey, 2004). However, little research has focused on individual learner factors related to promoting learners’ effectiveness in language learning abroad, such as an ideal point in target language (TL) study in SA contexts. The current study investigated the learner-perception of their preferred time in TL study for oversea immersion self-reported by students themselves. Participants (N=125) studying 30 languages in 32 different countries were recruited nation-wide. The results of students’ self-reports revealed that participants preferred intermediate levels of TL proficiency than any other level of proficiency. Findings of this study, even though they are based on the self-reported data, make important contributions to SA research and to the field of international education.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syeda Hina Batool ◽  
Wasim Ahmed ◽  
Khalid Mahmood ◽  
Ashraf Sharif

Purpose The use of social media has increased during the COVID-19 pandemic. Social media platforms provide opportunities to share news, ideas and personal stories. Twitter is used by citizens in Pakistan to respond and comment on emerging news stories and events. However, it is not known whether Twitter played a positive or negative role in spreading updates and preventive messages during the COVID-19 pandemic. The purpose of this study is to analyse content from Twitter during the pandemic. Design/methodology/approach NodeXL was used to retrieve data using the keyword وائرس کورونا (written in Urdu and which translates to Coronavirus). The first data set (Case Study 1) was based on 10,284 Twitter users from the end of March. The second data set (Case Study 2) was based on 10,644 Twitter users from the start of April. The theoretical lens of effective message framing was used to classify the most retweeted content on Twitter. Findings Twitter was used for personal and professional projections and included certain tweets included political motives even during the unfolding health crisis. There appeared to be very few successful attempts to use Twitter as a tool for health awareness and risk communication. The empirical findings indicate that the most retweeted messages were gain-framed and can be classified as personal, informative and political in nature. Originality/value The present study provides insights likely to be of interest to researchers, health organizations, citizens, government and politicians that are interested in making more effective use of social media for the purposes of health promotion. The authors also provide novel insights into the key topics of discussions, websites and hashtags used by Pakistani Twitter users during the COVID-19 pandemic.


2021 ◽  
Author(s):  
Xudong Yu ◽  
Magdalena Wojcieszak ◽  
Andreu Casas

Americans view their in-party members positively and out-party members negatively. It remains unclear, however, whether in-party love (i.e., positive partisanship) or out-party hate (i.e., negative partisanship) more strongly influences political attitudes and behaviors. Unlike past work, which relies on survey self-reports or experimental designs among ordinary citizens, this pre-registered project examines actual social media expressions of an exhaustive list of American politicians as well as citizens’ engagement with these posts. Relying on 1,195,844 tweets sent by 564 political elites (i.e., members of US House and Senate, Presidential and Vice-Presidential nominees from 2000 to 2020, and members of the Trump Cabinet) and machine learning to reliably classify the tone of the tweets, we show that elite expressions online are driven by positive partisanship: politicians are more likely to post tweets positive toward their in-party than tweets negative toward the out-party. However, more ideologically extreme politicians and those in the opposition (i.e., the Democrats) are more negative toward the out-party than those ideologically moderate and whose party is in power. Furthermore, examining how Twitter users react to these messages, we find that negative partisanship plays a greater role in online engagement among ordinary citizens (i.e., users are more likely to like and share politicians’ tweets negative toward the out-party than tweets positive toward the in-party). This project has important theoretical and democratic implications, and extends the use of trace data and computational methods in political communication.


2018 ◽  
Vol 2 (2) ◽  
pp. 69-80
Author(s):  
Wildan Imaduddin Muhammad

This article analyzes the product of Salman Harun's Qur'anic  interpretation with  Facebook  as the medium. As one of the senior professors who pursue the field of interpretation, he has managed to follow the times by utilizing internet technology. There are two focus areas in the study; the first aspect of the sense of Indonesian tafsir attached to the self of Salman Harun, the two aspects of the novelty of discourse that became the basic character of social media. Both aspects are interesting to be studied with a hermeneutic approach. Given that  the  methodological problem that often arises from the hermeneutic approach is the context of the interpreter that is difficult to trace accurately, then this article finds its relevance to the case of Salman Harun's interpretation which uses the facebook media as the actualization of its interpretation product.


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.


2020 ◽  
Author(s):  
Ethan Kaji ◽  
Maggie Bushman

BACKGROUND Adolescents with depression often turn to social media to express their feelings, for support, and for educational purposes. Little is known about how Reddit, a forum-based platform, compares to Twitter, a newsfeed platform, when it comes to content surrounding depression. OBJECTIVE The purpose of this study is to identify differences between Reddit and Twitter concerning how depression is discussed and represented online. METHODS A content analysis of Reddit posts and Twitter posts, using r/depression and #depression, identified signs of depression using the DSM-IV criteria. Other youth-related topics, including School, Family, and Social Activity, and the presence of medical or promotional content were also coded for. Relative frequency of each code was then compared between platforms as well as the average DSM-IV score for each platform. RESULTS A total of 102 posts were included in this study, with 53 Reddit posts and 49 Twitter posts. Findings suggest that Reddit has more content with signs of depression with 92% than Twitter with 24%. 28.3% of Reddit posts included medical content compared to Twitter with 18.4%. 53.1% of Twitter posts had promotional content while Reddit posts didn’t contain promotional content. CONCLUSIONS Users with depression seem more willing to discuss their mental health on the subreddit r/depression than on Twitter. Twitter users also use #depression with a wider variety of topics, not all of which actually involve a case of depression.


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