scholarly journals Birds of a feather don’t fact-check each other: Partisanship and the evaluation of news in Twitter’s Birdwatch crowdsourced fact-checking program

2021 ◽  
Author(s):  
Jennifer Nancy Lee Allen ◽  
Cameron Martel ◽  
David Gertler Rand
Keyword(s):  
Social Media ◽  
Third Party ◽  
Free Text ◽  
Pilot Program ◽  
Contextual Features ◽  
Fact Checking

There is a great deal of interest in the role that partisanship, and cross-party animosity in particular, plays in interactions on social media. Most prior research, however, must infer users’ judgments of others’ posts from engagement data. Here, we leverage data from Birdwatch, Twitter’s crowdsourced fact-checking pilot program, to directly measure judgments of whether other users’ tweets are misleading, and whether other users’ free-text evaluations of third-party tweets are helpful. For both sets of judgments, we find that contextual features – in particular, the partisanship of the users – are far more predictive of judgments than content features. Specifically, users are more likely to write negative evaluations of tweets from counter-partisans; and are more likely to rate evaluations from counter-partisans as unhelpful. Our findings provide clear evidence that users systematically reject content from those with whom they disagree politically. Platform designers must consider the ramifications of partisanship when implementing crowdsourcing programs.

scholarly journals Mental Health, Information and Being Connected: Qualitative Experiences of Social Media Use during the COVID-19 Pandemic from a Trans-National Sample

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 735
Author(s):  
Schoultz Mariyana ◽  
Leung Janni ◽  
Bonsaksen Tore ◽  
Ruffolo Mary ◽  
Thygesen Hilde ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Health Information ◽  
Online Survey ◽  
Negative Impact ◽  
National Study ◽  
Free Text ◽  
Cross Sectional ◽  
Mental Health Information ◽  
The Uk

Background: Due to the COVID-19 pandemic and the strict national policies regarding social distancing behavior in Europe, America and Australia, people became reliant on social media as a means for gathering information and as a tool for staying connected to family, friends and work. This is the first trans-national study exploring the qualitative experiences and challenges of using social media while in lockdown or shelter-in-place during the current pandemic. Methods: This study was part of a wider cross-sectional online survey conducted in Norway, the UK, USA and Australia during April/May 2020. The manuscript reports on the qualitative free-text component of the study asking about the challenges of social media users during the COVID-19 pandemic in the UK, USA and Australia. A total of 1991 responses were included in the analysis. Thematic analysis was conducted independently by two researchers. Results: Three overarching themes identified were: Emotional/Mental Health, Information and Being Connected. Participants experienced that using social media during the pandemic amplified anxiety, depression, fear, panic, anger, frustration and loneliness. They felt that there was information overload and social media was full of misleading or polarized opinions which were difficult to switch off. Nonetheless, participants also thought that there was an urge for connection and learning, which was positive and stressful at the same time. Conclusion: Using social media while in a shelter-in-place or lockdown could have a negative impact on the emotional and mental health of some of the population. To support policy and practice in strengthening mental health care in the community, social media could be used to deliver practical advice on coping and stress management. Communication with the public should be strengthened by unambiguous and clear messages and clear communication pathways. We should be looking at alternative ways of staying connected.

scholarly journals Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review

2021 ◽  
Vol 28 (1) ◽  
pp. e100262
Author(s):  
Mustafa Khanbhai ◽  
Patrick Anyadi ◽  
Joshua Symons ◽  
Kelsey Flott ◽  
Ara Darzi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Social Media ◽  
Natural Language Processing ◽  
Natural Language ◽  
Patient Experience ◽  
Language Processing ◽  
Performance Metrics ◽  
Free Text ◽  
Patient Feedback

ObjectivesUnstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of the literature on the use of natural language processing (NLP) and machine learning (ML) to process and analyse free-text patient experience data.MethodsDatabases were systematically searched to identify articles published between January 2000 and December 2019 examining NLP to analyse free-text patient feedback. Due to the heterogeneous nature of the studies, a narrative synthesis was deemed most appropriate. Data related to the study purpose, corpus, methodology, performance metrics and indicators of quality were recorded.ResultsNineteen articles were included. The majority (80%) of studies applied language analysis techniques on patient feedback from social media sites (unsolicited) followed by structured surveys (solicited). Supervised learning was frequently used (n=9), followed by unsupervised (n=6) and semisupervised (n=3). Comments extracted from social media were analysed using an unsupervised approach, and free-text comments held within structured surveys were analysed using a supervised approach. Reported performance metrics included the precision, recall and F-measure, with support vector machine and Naïve Bayes being the best performing ML classifiers.ConclusionNLP and ML have emerged as an important tool for processing unstructured free text. Both supervised and unsupervised approaches have their role depending on the data source. With the advancement of data analysis tools, these techniques may be useful to healthcare organisations to generate insight from the volumes of unstructured free-text data.

scholarly journals The platformisation of public service broadcasting in Germany: The network ‘funk’ and the case of Druck/Skam Germany

2021 ◽  
Vol 16 (2) ◽  
pp. 126-144
Author(s):  
Sven Stollfuß
Keyword(s):  
Social Media ◽  
Public Service ◽  
Third Party ◽  
Mobile Media ◽  
Media Environment ◽  
The Public ◽  
Public Service Broadcasting ◽  
Web Series ◽  
Production And Distribution ◽  
German Adaptation

This article investigates how platformisation changes the practices of content production and distribution through the case of the web series, Druck (tr. Pressure (2018–), for the public service content network ‘funk’ (ARD and ZDF). An analysis of the German adaptation of the Norwegian television and web series Skam (tr. Shame) (NRK3, 2015–2017) shows how public service broadcasting (PSB) in Germany is changing due to the influence of social media. To reach a younger audience, PSB has to meet them on third-party platforms. Consequently, PSB must provide content that fits the mobile media environment of social media.

Future uncertainties for preserving tweets: Peoples’ perceptions in Japan

2021 ◽  
pp. 096100062110373
Author(s):  
Ryo Shiozaki
Keyword(s):  
Social Media ◽  
State Intervention ◽  
Third Party ◽  
Media Content ◽  
Privacy Rights ◽  
The Public ◽  
Logistic Analysis ◽  
Hypothetical Scenario ◽  
Questionnaire Surveys ◽  
National Libraries

Social media content includes an unprecedented number of personal documents reflecting our time. Few countries or regions have established legal grounds for securing long-term access to these documents, while paper-based publications have been exhaustively accumulated under legal deposit systems. However, archiving social media through national libraries, as a sort of state intervention, could bring about chilling effects on free speech in unexpected ways. The article aims to present empirical data of public concerns concerning social media content, focusing on Twitter’s public tweets archived by third parties, through two questionnaire surveys involving university students (Research I) and the public (Research II). The surveys were designed based on three settings: researchers, organisations to which the respondents belong and the National Diet Library in Japan. Consequently, approximately 30% and 47% of the respondents in Research I ( n = 197) and II ( n = 728), respectively, disagreed with any hypothetical scenario. An ordered logistic analysis to reveal the inter-relations of variables suggests the existence of other factors; thus, neither variables related to Twitter/Internet use nor demographic variables influenced people’s perceptions of the archival issue. While protecting privacy rights and copyrights was the primary reason for disagreements regarding third-party archival of tweets, many respondents intuitively displayed a negative reaction without any specific reason. Those who question its value and feel uncomfortable with an authoritative intervention were also identified. To nurture acceptant attitudes, advocating the archival of personal documents and adopting more restrictive archival procedures like taking down posts and anonymisation, public debates on the intervention of public bodies and demonstration of archival values should be considered.

How Journalists and Social Media Users Perceive Online Fact-Checking and Verification Services

2017 ◽  
Vol 12 (9) ◽  
pp. 1109-1129 ◽  
Author(s):  
Petter Bae Brandtzaeg ◽  
Asbjørn Følstad ◽  
María Ángeles Chaparro Domínguez
Keyword(s):  
Social Media ◽  
Fact Checking

scholarly journals Social Media Contexts Moderate Perceptions of Animals

2020 ◽  
Author(s):  
Elizabeth Riddle ◽  
Jill R D MacKay
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Free Text ◽  
Human Society ◽  
Rapid Rise ◽  
The Past ◽  
Social Media Site ◽  
The Social ◽  
Human Perceptions ◽  
New Space

The rapid rise of social media in the past decade represents a new space where animals are represented in human society, and this may influence human perceptions. In this study, 211 participants (49% female) between the ages of 18 to 44 were recruited to an online survey where they viewed mock-up pages from a social media site. All participants saw the same image of an animal, but were randomly assigned to a positive or negative narrative condition. When participants were presented with the critical narrative they perceived the animal to be more stressed (χ2=13.99, p<0.001). Participants expressed reservations in face of a narrative they disagreed with in free text comments. Overall, this study found evidence to suggest that people moderate their discussions on human-animal interactions based on the social network they are in, but these relationships are complex and require further research.

scholarly journals The Accidental Checkmate: Understanding the Intent behind sharing Misinformation on Social Media

2021 ◽  
Author(s):  
Ajay Agarwal
Keyword(s):  
Social Media ◽  
Neural System ◽  
Human Beings ◽  
World Community ◽  
Independent Analysis ◽  
False Sense ◽  
Media Platform ◽  
The Common ◽  
Fact Checking ◽  
Independent Parameters

The bloom of COVID19 has resulted in the explosion of ripple pollens which have severely affected the world community in the terms of their multi-axial impact. These pollens, despite being indistinguishable, have a varied set of characteristics in terms of their origin and contribution towards the overall declining homeostasis of human beings. The most prominent of these pollens are misinformation. Various studies have been conducted, performed, and stochastically replicated to build ML-based models to accurately detect misinformation and its variates on the common modalities of spread. However, the recent independent analysis conducted on the prior studies reveals how the current fact-checking systems fail and fall flat in fulfilling any practical demands that the misinfodemic of COVID19 brought for us. While the scientific community broadly accepts the pandemic-like resemblance of the rampant misinformation spread, we must also make sure that our response to the same is multi-faceted, interdisciplinary, and doesn't stand restricted. As crucial it is to chart the features of misinformation spread, it is also important to understand why it spreads in the first place? Our paper deals with the latter question through a game-theory-based approach. We implement a game with two social media users or players who aim at increasing their outreach on their social media handles whilst spreading misinformation knowingly. We take five independent parameters from 100 Twitter handles that have shared misinformation during the period of COVID19. Twitter was chosen as it is a prominent social media platform accredited to the major modality for misinformation spread. The outreach increment on the user’s Twitter handles was measured using various features provided by Twitter- number of comments, number of retweets, and number of likes. Later, using a computational neuroscientific approach, we map each of these features with the type of neural system they trigger in a person’s brain. This helps in understanding how misinformation whilst being used as an intentional decoy to increase outreach on social media, also, affects the human social cognition system eliciting pseudo-responses that weren’t intended otherwise leading to realizing possible neuroscientific correlation as to how spreading misinformation on social media intentionally/unintentionally becomes a strategic maneuver to increased reach and possibly a false sense of accomplishment.

scholarly journals Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019

BJS Open ◽  
2020 ◽  
Vol 5 (2) ◽  
Author(s):  
G Mackenzie ◽  
R Grossman ◽  
J Mayol
Keyword(s):  
Social Media ◽  
Clinical Practice ◽  
Third Party ◽  
Internet Browser ◽  
Twitter Analytics ◽  
Social Media Tool

Abstract Background Twitter engagement between surgeons provides opportunities for international discussion of research and clinical practice. Understanding how surgical tweet chats work is important at a time when increasing reliance is being placed on virtual engagement because of the COVID-19 pandemic. Methods Individual tweets from the May 2019 #BJSConnect tweet chat were extracted using NodeXL, complemented by Twitter searches in an internet browser to identify responses that had not used the hashtag. Aggregate estimates of tweet views were obtained from a third-party social media tool (Twitonomy) and compared with official Twitter Analytics measurements. Results In total 37 Twitter accounts posted 248 tweets or replies relating to the tweet chat. A further 110 accounts disseminated the tweets via retweeting. Only 58.5 per cent of these tweets and 35 per cent of the tweeters were identified through a search for the #BJSConnect hashtag. The rest were identified by searching for replies (61), quoting tweets (20), and posts by @BJSurgery that used the hashtag but did not appear in the Twitter search (22). Studying all tweets revealed complex branching discussions that went beyond the discussed paper’s findings. Third-party estimates of potential reach of the tweet chat were greatly exaggerated. Conclusion Understanding the extent of the discussion generated by the #BJSConnect tweet chat required looking beyond the hashtag to identify replies and other responses, which was time-consuming. Estimates of reach using a third-party tool were unreliable.

scholarly journals Electoral Disinformation: Looking Through the Lens of Tsek.ph Fact Checks

Plaridel ◽  
2020 ◽  
Vol 17 (1) ◽  
pp. 285-295
Author(s):  
Yvonne Chua ◽  
Jake Soriano
Keyword(s):  
Social Media ◽  
Presidential Election ◽  
Wide Range ◽  
Midterm Elections ◽  
Fertile Ground ◽  
Social Media Platforms ◽  
The Media ◽  
Fact Checking

Elections are fertile ground for disinformation. The 2019 midterm elections, like the 2016 presidential election, buttress this observation. This ugly side of electoral contests is documented by Tsek.ph, a pioneering collaborative fact-checking initiative launched by three universities and eleven newsrooms specifically for the midterms. Its repository of fact checks provides valuable insights into the nature of electoral disinformation before, during and after the elections. Clearly, electoral disinformation emanates from candidates and supporters alike, on conventional (e.g., speeches and sorties) and digital (e.g., social media) platforms. Its wide range of victims includes the media no less.

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