scholarly journals Researching with Twitter timeline data: A demonstration via “everyday” socio-political talk around welfare provision

2018 ◽  
Vol 5 (1) ◽  
pp. 205395171876662 ◽  
Author(s):  
Phillip Brooker ◽  
Julie Barnett ◽  
John Vines ◽  
Shaun Lawson ◽  
Tom Feltwell ◽  
...  

Increasingly, social media platforms are understood by researchers to be valuable sites of politically-relevant discussions. However, analyses of social media data are typically undertaken by focusing on ‘snapshots’ of issues using query-keyword search strategies. This paper develops an alternative, less issue-based, mode of analysing Twitter data. It provides a framework for working qualitatively with longitudinally-oriented Twitter data (user-timelines), and uses an empirical case to consider the value and the challenges of doing so. Exploring how Twitter users place “everyday” talk around the socio-political issue of UK welfare provision, we draw on digital ethnography and narrative analysis techniques to analyse 25 user-timelines and identify three distinctions in users’ practices: users’ engagements with welfare as TV entertainment or as a socio-political concern; the degree of sustained engagement with said issues, and; the degree to which users’ tweeting practices around welfare were congruent with or in contrast to their other tweets. With this analytic orientation, we demonstrate how a longitudinal analysis of user-timelines provides rich resources that facilitate a more nuanced understanding of user engagement in everyday socio-political discussions online.

2020 ◽  
Author(s):  
Yankun Gao ◽  
Zidian Xie ◽  
Dongmei Li

BACKGROUND Previous studies have shown that electronic cigarette (e-cigarette) users might be more vulnerable to COVID-19 infection and could develop more severe symptoms if they contract the disease owing to their impaired immune responses to viral infections. Social media platforms such as Twitter have been widely used by individuals worldwide to express their responses to the current COVID-19 pandemic. OBJECTIVE In this study, we aimed to examine the longitudinal changes in the attitudes of Twitter users who used e-cigarettes toward the COVID-19 pandemic, as well as compare differences in attitudes between e-cigarette users and nonusers based on Twitter data. METHODS The study dataset containing COVID-19–related Twitter posts (tweets) posted between March 5 and April 3, 2020, was collected using a Twitter streaming application programming interface with COVID-19–related keywords. Twitter users were classified into two groups: Ecig group, including users who did not have commercial accounts but posted e-cigarette–related tweets between May 2019 and August 2019, and non-Ecig group, including users who did not post any e-cigarette–related tweets. Sentiment analysis was performed to compare sentiment scores towards the COVID-19 pandemic between both groups and determine whether the sentiment expressed was positive, negative, or neutral. Topic modeling was performed to compare the main topics discussed between the groups. RESULTS The US COVID-19 dataset consisted of 4,500,248 COVID-19–related tweets collected from 187,399 unique Twitter users in the Ecig group and 11,479,773 COVID-19–related tweets collected from 2,511,659 unique Twitter users in the non-Ecig group. Sentiment analysis showed that Ecig group users had more negative sentiment scores than non-Ecig group users. Results from topic modeling indicated that Ecig group users had more concerns about deaths due to COVID-19, whereas non-Ecig group users cared more about the government’s responses to the COVID-19 pandemic. CONCLUSIONS Our findings show that Twitter users who tweeted about e-cigarettes had more concerns about the COVID-19 pandemic. These findings can inform public health practitioners to use social media platforms such as Twitter for timely monitoring of public responses to the COVID-19 pandemic and educating and encouraging current e-cigarette users to quit vaping to minimize the risks associated with COVID-19.


10.2196/24859 ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. e24859
Author(s):  
Yankun Gao ◽  
Zidian Xie ◽  
Dongmei Li

Background Previous studies have shown that electronic cigarette (e-cigarette) users might be more vulnerable to COVID-19 infection and could develop more severe symptoms if they contract the disease owing to their impaired immune responses to viral infections. Social media platforms such as Twitter have been widely used by individuals worldwide to express their responses to the current COVID-19 pandemic. Objective In this study, we aimed to examine the longitudinal changes in the attitudes of Twitter users who used e-cigarettes toward the COVID-19 pandemic, as well as compare differences in attitudes between e-cigarette users and nonusers based on Twitter data. Methods The study dataset containing COVID-19–related Twitter posts (tweets) posted between March 5 and April 3, 2020, was collected using a Twitter streaming application programming interface with COVID-19–related keywords. Twitter users were classified into two groups: Ecig group, including users who did not have commercial accounts but posted e-cigarette–related tweets between May 2019 and August 2019, and non-Ecig group, including users who did not post any e-cigarette–related tweets. Sentiment analysis was performed to compare sentiment scores towards the COVID-19 pandemic between both groups and determine whether the sentiment expressed was positive, negative, or neutral. Topic modeling was performed to compare the main topics discussed between the groups. Results The US COVID-19 dataset consisted of 4,500,248 COVID-19–related tweets collected from 187,399 unique Twitter users in the Ecig group and 11,479,773 COVID-19–related tweets collected from 2,511,659 unique Twitter users in the non-Ecig group. Sentiment analysis showed that Ecig group users had more negative sentiment scores than non-Ecig group users. Results from topic modeling indicated that Ecig group users had more concerns about deaths due to COVID-19, whereas non-Ecig group users cared more about the government’s responses to the COVID-19 pandemic. Conclusions Our findings show that Twitter users who tweeted about e-cigarettes had more concerns about the COVID-19 pandemic. These findings can inform public health practitioners to use social media platforms such as Twitter for timely monitoring of public responses to the COVID-19 pandemic and educating and encouraging current e-cigarette users to quit vaping to minimize the risks associated with COVID-19.


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.


2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110088
Author(s):  
Ioana Literat ◽  
Neta Kligler-Vilenchik

Adopting a comparative cross-platform approach, we examine youth political expression and conversation on social media, as prompted by popular culture. Tracking a common case study—the practice of building Donald Trump’s border wall within the videogame Fortnite—across three social media platforms popular with youth (YouTube, TikTok, Instagram), we ask: How do popular culture artifacts prompt youth political expression, as well as cross-cutting political talk with those holding different political views, across social media platforms? A mixed methods approach, combining quantitative and qualitative content analysis of around 6,400 comments posted on relevant artifacts, illuminates youth popular culture as a shared symbolic resource that stimulates communication within and across political differences—although, as our findings show, it is often deployed in a disparaging manner. This cross-platform analysis, grounded in contemporary youth culture and sociopolitical dynamics, enables a deeper understanding of the interplay between popular culture, cross-cutting political talk, and the role that different social media platforms play in shaping these expressive practices.


2019 ◽  
Vol 43 (1) ◽  
pp. 53-71 ◽  
Author(s):  
Ahmed Al-Rawi ◽  
Jacob Groshek ◽  
Li Zhang

PurposeThe purpose of this paper is to examine one of the largest data sets on the hashtag use of #fakenews that comprises over 14m tweets sent by more than 2.4m users.Design/methodology/approachTweets referencing the hashtag (#fakenews) were collected for a period of over one year from January 3 to May 7 of 2018. Bot detection tools were employed, and the most retweeted posts, most mentions and most hashtags as well as the top 50 most active users in terms of the frequency of their tweets were analyzed.FindingsThe majority of the top 50 Twitter users are more likely to be automated bots, while certain users’ posts like that are sent by President Donald Trump dominate the most retweeted posts that always associate mainstream media with fake news. The most used words and hashtags show that major news organizations are frequently referenced with a focus on CNN that is often mentioned in negative ways.Research limitations/implicationsThe research study is limited to the examination of Twitter data, while ethnographic methods like interviews or surveys are further needed to complement these findings. Though the data reported here do not prove direct effects, the implications of the research provide a vital framework for assessing and diagnosing the networked spammers and main actors that have been pivotal in shaping discourses around fake news on social media. These discourses, which are sometimes assisted by bots, can create a potential influence on audiences and their trust in mainstream media and understanding of what fake news is.Originality/valueThis paper offers results on one of the first empirical research studies on the propagation of fake news discourse on social media by shedding light on the most active Twitter users who discuss and mention the term “#fakenews” in connection to other news organizations, parties and related figures.


The rise of social media platforms like Twitter and the increasing adoption by people in order to stay connected provide a large source of data to perform analysis based on the various trends, events and even various personalities. Such analysis also provides insight into a person’s likes and inclinations in real time independent of the data size. Several techniques have been created to retrieve such data however the most efficient technique is clustering. This paper provides an overview of the algorithms of the various clustering methods as well as looking at their efficiency in determining trending information. The clustered data may be further classified by topics for real time analysis on a large dynamic data set. In this paper, data classification is performed and analyzed for flaws followed by another classification on the same data set.


2021 ◽  
Author(s):  
Jarett Anderson ◽  
Austin Hamp ◽  
Michelle Militello ◽  
Ryan Geist ◽  
Jaclyn Anderson ◽  
...  

BACKGROUND Clinical trials are an essential process in discovering new biomedical or behavioral outcomes in disease processes. There are several steps involved in creating a clinical trial. One step, patient recruitment, is often touted as the largest contributor to trial delays, which has financial, scientific, and ethical ramifications. Approximately 1.2 billion dollars in the United States is spent each year on this process and as many as 86% of clinical trials do not meet recruitment targets within their perspective timeframes, and 19% of trials had to be terminated early due to insufficient recruitment and/or patient retention1. Social media is a viable, inexpensive tool that can be utilized to improve both recruitment and retention rates2. To date, platforms such as Facebook, Twitter and others have been widely utilized in recruitment for clinical trials, communication among stakeholders, and educational tools. Social media also has the advantage of reaching populations that otherwise would be more difficult to reach3. A list of these platforms and each of their distinct advantages for clinical trial recruitment can be found in Table 1. This review aims to highlight the unique characteristics of several social media platforms and their advantageous properties in increasing recruitment and retention during clinical trials. OBJECTIVE This narrative review analyzes the current use of several social media sites in clinical trial recruitment and retention. It also offers insight concerning potential uses of these sites that are not currently utilized. METHODS A literature search was performed using PubMed, Google Scholar, and ResearchGate to access and review relevant articles published in peer-reviewed journals concerning social media and its use in clinical trials. Two independent researchers with education and experience in dermatology screened publications to select studies featuring quantitative results concerning social media and clinical trial recruitment. RESULTS 13 social media applications were studied and reviewed. 7 of these social media sites or applications have currently been studied, and their use in complementing traditional recruiting methods such as advertisements in newspapers, health fairs, and direct mailing, has been analyzed and reported. 6 additional social media applications have further been studied, and their potential use within clinical trial research has been additionally analyzed. CONCLUSIONS A large number and variety of social media platforms exist to aid in the recruitment and retention process for clinical trials, many of which can utilize niche features and reach a targeted demographic. Although recruitment remains a barrier for researchers involved in clinical trials, the potential to recruit through social media may be underutilized. Many avenues that exist to improve recruitment have not been leveraged. For example, partnering to create collaborative videos with social media influencers on platforms such as Instagram and Youtube may help to broaden the audience and increase clinical trial enrollments. Creating biomedical educational profiles or channels that discuss details of clinical trials with descriptions of these trials could also be employed to increase the scope of the audience. Reddit, Smart Patients, and Patients Like Me can target difficult-to-reach patient populations due to their use of subgroups, allowing researchers to reach their target audience. Additionally, many of these platforms provide user engagement features that allow users to respond directly to videos or posts and could be used to encourage enrollment by allowing users to react directly to clinical trial advertisements.


2017 ◽  
Vol 17 (2) ◽  
pp. 258-280 ◽  
Author(s):  
Alexandra A. Siegel ◽  
Joshua A. Tucker

Abstract How successful is the Islamic State’s online strategy? To what extent does the organization achieve its goals of attracting a global audience, broadcasting its military successes, and marketing the Caliphate? Using Twitter and YouTube search data, collected throughout 2015 and early 2016, we assess how suspected ISIS accounts, sympathizers, and opponents behave across two social media platforms, offering key insights into the successes and limitations of ISIS’s information warfare strategy. Analyzing the tweet content and metadata from 16,364 suspected ISIS accounts, we find that a core network of ISIS Twitter users are producing linguistically diverse narratives, touting battlefield victories and depicting utopian life in the Caliphate. Furthermore, a dataset of over 70 million tweets, as well as analysis YouTube search data, indicates that although pro-ISIS content spreads globally and remains on message, it is far less prolific than anti-ISIS content. However, this anti-ISIS content is not necessarily anti-extremist or aligned with Western policy goals.


Author(s):  
Michael Bossetta

State-sponsored “bad actors” increasingly weaponize social media platforms to launch cyberattacks and disinformation campaigns during elections. Social media companies, due to their rapid growth and scale, struggle to prevent the weaponization of their platforms. This study conducts an automated spear phishing and disinformation campaign on Twitter ahead of the 2018 United States midterm elections. A fake news bot account — the @DCNewsReport — was created and programmed to automatically send customized tweets with a “breaking news” link to 138 Twitter users, before being restricted by Twitter.Overall, one in five users clicked the link, which could have potentially led to the downloading of ransomware or the theft of private information. However, the link in this experiment was non-malicious and redirected users to a Google Forms survey. In predicting users’ likelihood to click the link on Twitter, no statistically significant differences were observed between right-wing and left-wing partisans, or between Web users and mobile users. The findings signal that politically expressive Americans on Twitter, regardless of their party preferences or the devices they use to access the platform, are at risk of being spear phished on social media.


2019 ◽  
Vol 2 (2) ◽  
pp. e20-e29 ◽  
Author(s):  
Kalyan Gudaru ◽  
Leonardo Tortolero Blanco ◽  
Daniele Castellani ◽  
Hegel Trujillo Santamaria ◽  
Marcela Pelayo-Nieto ◽  
...  

Background and Objectives There is an increasing use of social media amongst the urological community. However, it is difficult to identify urological data on various social media platforms in an efficient manner. We proposed a hashtag, #UroSoMe, to be used when posting urology-related content in the social media platforms. The objectives of this article are to describe how #UroSoMe was developed, and to report the data of the first month of #UroSoMe.   Material and Methods The hashtag, #UroSoMe, was introduced to the urological community. The #UroSoMe working group was formed, and the members actively invited and encouraged people to use the hashtag #UroSoMe when posting urology-related contents. After the #UroSoMe (@so_uro) platform on twitter had grown to more than 300 users, the first live event of online case discussion, i.e. #LiveCaseDiscussions, was conducted. A prospective observational study of the hashtag #UroSoMe Twitter activity during the first month of its usage from 14 December 2018 to 13 January 2019 was evaluated. Outcome measures included number of users, number of tweets, user location, top tweeters, top hashtags used and interactions. Analysis was performed using NodeXL (Social Media Research Foundation; California, USA; https://www.smrfoundation.org/nodexl/), Symplur (https:// www.symplur.com) and Twitonomy (https://www.twitonomy.com).   Results The first month of #UroSoMe activity documented 1373 tweets/retweets by 1008 tweeters with 17698 mentions and 1003 replies. The #LiveCaseDiscussions was able to achieve a potential reach of 2,033,352 Twitter users. The top tweets mainly included cases presented by #UroSoMe working group members during #LiveCaseDiscussions. The twitonomy map showed participation from 214 geographical locations. The major groups of participants using the hashtag #UroSoMe were ‘Researcher/Academic’ and ‘Doctor’. The twitter account of #UroSoMe (@so_uro) has now grown to more than 1000 followers.   Conclusions Social media is an excellent platform for interaction amongst the urological community. The results demonstrated that #UroSoMe was able to achieve wide spread engagement from all over the world.


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