Mentions of Ethics Codes in Social Media: A Twitter Analysis

2022 ◽  
pp. 193-210
Author(s):  
Kelly Laas ◽  
Elisabeth Hildt ◽  
Ying Wu
Keyword(s):  
Social Media ◽  
Ethics Codes ◽  
Twitter Analysis

scholarly journals “At Least until the Second Wave Comes…”: A Twitter Analysis of the NHS and COVID-19 between March and June 2020

2021 ◽  
Vol 18 (8) ◽  
pp. 3943
Author(s):  
Kathy McKay ◽  
Sarah Wayland ◽  
David Ferguson ◽  
Jane Petty ◽  
Eilis Kennedy
Keyword(s):  
Health Care ◽  
Social Media ◽  
Content Analysis ◽  
Well Being ◽  
Profound Impact ◽  
Time Period ◽  
Twitter Analysis ◽  
The Uk ◽  
Media Narratives ◽  
Second Wave

In the UK, tweets around COVID-19 and health care have primarily focused on the NHS. Recent research has identified that the psychological well-being of NHS staff has been adversely impacted as a result of the COVID-19 pandemic. The aim of this study was to investigate narratives relating to the NHS and COVID-19 during the first lockdown (26 March–4 July 2020). A total of 123,880 tweets were collated and downloaded bound to the time period of the first lockdown in order to analyse the real-time discourse around COVID-19 and the NHS. Content analysis was undertaken and tweets were coded to positive and negative sentiments. Five main themes were identified: (1) the dichotomies of ‘clap for carers’; (2) problems with PPE and testing; (3) peaks of anger; (4) issues around hero worship; and (5) hints of a normality. Further research exploring and documenting social media narratives around COVID-19 and the NHS, in this and subsequent lockdowns, should help in tailoring suitable support for staff in the future and acknowledging the profound impact that the pandemic has had.

PUBLIC UNIVERSITY LIBRARIES AND SOCIAL MEDIA: SOME KEY ISSUES DERIVED FROM TWITTER ANALYSIS

2021 ◽  
Author(s):  
Berta Tubillejas-Andrés ◽  
Amparo Cervera-Taulet ◽  
Haydee Calderón García
Keyword(s):  
Social Media ◽  
Public University ◽  
University Libraries ◽  
Key Issues ◽  
Twitter Analysis

scholarly journals Gauging Opinions About the Citizenship Amendment Act and NRC

2021 ◽  
Vol 29 (5) ◽  
pp. 176-193
Author(s):  
Praveen Ranjan Srivastava ◽  
Prajwal Eachempati
Keyword(s):  
Social Media ◽  
Public Perception ◽  
Negative Reaction ◽  
Analysis Approach ◽  
Population Register ◽  
The Public ◽  
National Population ◽  
National Population Register ◽  
National Citizenship ◽  
Twitter Analysis

Today, the advent of social media has provided a platform for expressing opinions regarding legislation and public schemes. One such burning legislation introduced in India is the Citizenship Amendment Act (CAA) and its impact on the National Citizenship Register (NRC) and, subsequently, on the National Population Register (NPR). This study examines and determines the opinions expressed on social media regarding the act through a Twitter analysis approach that extracts nearly 18,000 tweets during 10 days of introducing the scheme. The analysis revealed that the opinion was neutral but tended to a more negative reaction. Consequently, recommendations on improving public perception about the scheme by suitable for interpreting the Act to the public are provided in the paper.

scholarly journals The FDA authorization of direct-to-consumer genetic testing for three BRCA1/2 pathogenic variants: a twitter analysis of the public’s response

JAMIA Open ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 411-415 ◽  
Author(s):  
Megan C Roberts ◽  
Caitlin G Allen ◽  
Brittany L Andersen
Keyword(s):  
Social Media ◽  
Genetic Testing ◽  
Information Exchange ◽  
Genetic Test ◽  
Direct To Consumer ◽  
Long Period ◽  
Pathogenic Variants ◽  
Personal Experiences ◽  
Genetic Technologies ◽  
Twitter Analysis

Abstract Objectives In March 2018, the Food and Drug Administration (FDA) announced its authorization of a direct-to-consumer (DTC) genetic test for three pathogenic BRCA1/2 variants. We sought to determine to whether social media discussion increased following the authorization, who was driving social media conversations, and what topics were discussed. Methods Using Crimson Hexagon, we described tweets before, during, and after the FDA announcement authorizing 23andMe to return BRCA1/2 results (3/4/18–3/10/18). We conducted qualitative coding of a subset of 605 tweets to better understand Twitter communication. Results We identified 11 055 twitter posts across the week of FDA’s announcement. Twitter discourse about 23andMe and the FDA authorization peaked the day following the FDA’s press release. Most tweets (48.6%) were informational and 26.3% were either expressing opinions (about 23andMe and/or FDA authorization, 14.9%) or testimonials (personal experiences with genetic testing, 11.4%). The types of tweets varied over the week-long period (P <  .001). Discussion Twitter discussion about the FDA’s authorization of DTC for three pathogenic BRCA1/2 variants increased immediately following the announcement. As more genetic technologies are brought to the DTC market, social media sites, like Twitter, will play a role in disseminating this information, providing a platform for information exchange, consumer testimonials, opinion pieces, and research.

scholarly journals Sizing Up “Media Twitter”: Exploring Population Extent, Beats, and Utility of Social Media

2021 ◽  
Author(s):  
John Wihbey ◽  
Kenneth Joseph ◽  
Daniela Rincon Reyes
Keyword(s):  
Social Media ◽  
Regression Analysis ◽  
Mixed Methods ◽  
Relative Number ◽  
Mixed Methods Study ◽  
Computational Techniques ◽  
International Affairs ◽  
Social Media Tools ◽  
Twitter Analysis ◽  
Forms Of Knowledge

This mixed-methods study explores which types of journalists are on social media and what forms of knowledge-related utility they find there for their practice. We leverage computational techniques to identify more than 166,000 journalist profiles, in English, on Twitter and to examine their beats, follower counts, and volume of activity. We pair this with findings from an original 2019 survey with policy-oriented journalists (N=450) who work on a variety of beats. Two-thirds of journalists believe social media tools help them frequently in their reporting work across many dimensions. Regression analysis finds significant associations with the technology and international affairs beats, as well as among younger journalists and those with a national audience. Our Twitter analysis, based on a dataset of 2.5 billion tweets collected in mid-2020, finds that the beats of politics, international affairs, and technology see the highest relative number of journalists on Twitter. The findings furnish a descriptive, quantitative picture of “Media Twitter” and speak to questions about social media’s place in journalism.

Twitter Analysis for Intelligent Transportation

2018 ◽  
Vol 62 (11) ◽  
pp. 1547-1556
Author(s):  
Sarah Alhumoud
Keyword(s):  
Social Media ◽  
Survey Methods ◽  
Large Population ◽  
Detection Methods ◽  
Location Information ◽  
Social Media Mining ◽  
Proposed Model ◽  
Twitter Analysis ◽  
Main Components ◽  
Traffic Detection

Abstract The amount of data available online has grown enormously over the last decade as a result of the rapid growth of smartphone users and the availability of communication applications. Due to the anonymity and instantaneous nature of social media broadcasting compared to conventional attitudinal survey methods, social media mining is becoming popular for complementing traditional traffic detection methods due to its accessibility in reaching a large population and the opportunities for reflecting the true and immediate behaviour of participants for free. This study presents a framework for Arabic Twitter content analysis to gain transportation insight. The study is done with a dataset of more than 1 million tweets collected within 3 months. The proposed model comprises three main components: data acquisition, data analysis and the reverse geotagging scheme (RGS). The RGS tackles the problem of lack of location information in the tweets. Results show that 13% of the dataset reports traffic-related incidents with an overall precision of 55% and 87% for incidents identification prediction without and with reverse geotagging, respectively. This proves the efficiency of the developed analyser in identifying tweets on transportation and the potential of the RGS in defining the location of tweets with no registered location information.

scholarly journals Sports Influencers on Twitter. Analysis and Comparative Study of Track Cycling World Cups 2016 and 2018

2020 ◽  
Vol 9 (10) ◽  
pp. 169
Author(s):  
José María Lamirán-Palomares ◽  
Tomás Baviera ◽  
Amparo Baviera-Puig
Keyword(s):  
Social Media ◽  
Comparative Study ◽  
Analytical Hierarchy Process ◽  
Sporting Events ◽  
Digital Medium ◽  
Sporting Event ◽  
The Media ◽  
Twitter Analysis ◽  
Hierarchy Process ◽  
Track Cycling

Social media has driven a sea change in the way users view and participate in sporting events through the media. In the digital medium, identifying the profiles with the greatest influential capacity is a key issue. Using the analytical hierarchy process (AHP), the aim of our research was to identify the most influential Twitter accounts in a major sporting event: The Track Cycling World Cups. The competitions from the years 2016 and 2018 were analysed, downloading all the tweets that included the official hashtag of each event and drawing up the graph of mentions and retweets. After reviewing the literature, activity, authority and popularity were defined as dimensions to assess influence, and two subcriteria were chosen as measures for each of them. Activity was measured by number of tweets and outdegree, authority by retweets and PageRank, and popularity by number of followers and indegree. By consulting experts following the AHP approach, various weights were assigned to these measures, resulting in authority as the most influential. With this weighting, the accounts with the greatest influence on Twitter turned out to be those related to organisation of the event and those of the athletes taking part.

Growth in Social Media and Live-Tweeting at Major Critical Care Conferences: Twitter Analysis of the Past 4 Years

CHEST Journal ◽  
2017 ◽  
Vol 152 (4) ◽  
pp. A547 ◽  
Author(s):  
Roozehra Khan ◽  
Rahul Kashyap ◽  
Avinesh Bhar ◽  
David Schulman ◽  
Kristi Bruno ◽  
...  
Keyword(s):  
Social Media ◽  
Critical Care ◽  
The Past ◽  
Twitter Analysis

scholarly journals #Crohns: historical cohort of Twitter activity

2020 ◽  
Author(s):  
Marcio Roberto Facanali Junior ◽  
Carolina Bortolozzo Graciolli Facanali ◽  
Natália Souza Freitas Queiroz ◽  
Carlos Walter Sobrado Junior ◽  
Sérgio Carlos Nahas ◽  
...  
Keyword(s):  
Social Media ◽  
Social Media Analytics ◽  
Historical Cohort ◽  
Awareness Campaigns ◽  
Annual Peak ◽  
Twitter Analysis ◽  
The Subject ◽  
Twitter Activity ◽  
International Awareness ◽  
Significant Interference

Abstract Aim Analysis of the twitter activity on #Crohns, identifying individuals with interest in Crohn´s disease on Twitter. Methods A historic cohort study about Twitter activity evaluation of #Crohns, analyzed over a period of 9 years. For the twitter analysis, a health care social media analytics tool, Symplur Signals, was adopted. Results Since 2011 until 2019, 627.000 tweets of #Crohns were detected, with 276.380 retweets by 109.937 users, of these users 32.4% are patients advocate and 12.6% doctors. There was a pattern of annual peak activity of the #Crohns, mainly in May and December, and less activity, usually in July. Of all tweets, 52.5% were categorized as positive and 47.5% as negative. Conclusion Social media, especially Twitter, represents an important information tool, but it is still underutilized by gastroenterologists. This study suggests a significant interference of international awareness campaigns about IBD in the activity of #Crohns on Twitter, denoting an increase in debating this topic on the platform. Discussions on the subject by health professionals are still below expectations regarding the importance of the theme.

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