scholarly journals Estimating the effect size of moral contagion in online networks: A pre-registered replication and meta-analysis

2021 ◽  
Author(s):  
William J. Brady ◽  
Jay Joseph Van Bavel
Keyword(s):  
Social Media ◽  
Effect Size ◽  
Online Social Networks ◽  
Information Diffusion ◽  
Meta Analysis ◽  
Online Information ◽  
Political Messages ◽  
Social Lives ◽  
Social Activists ◽  
Social Media Platforms

Over 4 billion people now use social media platforms. As our social lives become more entangled than ever before with online social networks, it is important to understand the dynamics of online information diffusion. This is particularly true for the political domain, as political elites, disinformation profiteers and social activists all utilize social media to gain influence by spreading information. Recent work found that emotional expressions related to the domain of morality (moral emotion expression) are associated with increased diffusion of political messages--a phenomenon we called ‘moral contagion’. Here, we perform a large, pre-registered direct replication (N = 849,266) of Brady et al. (2017), as well as a meta-analysis of all available data testing moral contagion (5 independent labs, 27 studies, N = 4,821,006). The estimate of moral contagion in the available population of studies is positive and significant (IRR = 1.12, 95% CI = [1.06, 1.19]), such that each message is 12% more likely to be shared for each additional moral-emotional word. The mean effect size of the large, pre-registered replication (IRR = 1.15) better estimated the effect size of the available population of studies than the original study (IRR = 1.20). These findings reinforce the importance of replication and producing a pre-registered analysis to generate accurate estimates of effect size for future studies.

Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks

2021 ◽  
pp. 1-13
Author(s):  
C S Pavan Kumar ◽  
L D Dhinesh Babu
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Membership Function ◽  
Online Social Networks ◽  
Learning Model ◽  
Feature Engineering ◽  
Machine Learning Model ◽  
Social Media Platforms

Sentiment analysis is widely used to retrieve the hidden sentiments in medical discussions over Online Social Networking platforms such as Twitter, Facebook, Instagram. People often tend to convey their feelings concerning their medical problems over social media platforms. Practitioners and health care workers have started to observe these discussions to assess the impact of health-related issues among the people. This helps in providing better care to improve the quality of life. Dementia is a serious disease in western countries like the United States of America and the United Kingdom, and the respective governments are providing facilities to the affected people. There is much chatter over social media platforms concerning the patients’ care, healthy measures to be followed to avoid disease, check early indications. These chatters have to be carefully monitored to help the officials take necessary precautions for the betterment of the affected. A novel Feature engineering architecture that involves feature-split for sentiment analysis of medical chatter over online social networks with the pipeline is proposed that can be used on any Machine Learning model. The proposed model used the fuzzy membership function in refining the outputs. The machine learning model has obtained sentiment score is subjected to fuzzification and defuzzification by using the trapezoid membership function and center of sums method, respectively. Three datasets are considered for comparison of the proposed and the regular model. The proposed approach delivered better results than the normal approach and is proved to be an effective approach for sentiment analysis of medical discussions over online social networks.

Reconciling Social Media with Luxury Fashion Brands

2015 ◽  
pp. 917-945 ◽  
Author(s):  
Wilson Ozuem ◽  
Kerri Tan
Keyword(s):  
Social Media ◽  
Information Diffusion ◽  
Cultural Transformation ◽  
Marketing Communications ◽  
Communication Media ◽  
Communications Media ◽  
Customer Expectations ◽  
Fashion Brand ◽  
Social Media Platforms ◽  
Human Association

Modern developments in communication media are creating new networks of information diffusion which are profoundly altering the way in which people can construct shared ‘realities'. Internet along with its prototypical subsets, notably social media, is enabling the emergence of new mechanism of human association which are shaped by – yet also shape – the development of this new medium of communication. This chapter integrates social media theory and luxury fashion brand theory arguments to examine the knowledge benefits that this cultural transformation provides to the development of a marketing communications programme. The authors argue that the key to providing an effective marketing communication programme is understanding and responding to customer expectations through the integration of social media platforms and traditional marketing communications media.

Raising Awareness About Public Archives in East and Southern Africa Through Social Media

2019 ◽  
pp. 160-181 ◽  
Author(s):  
Nampombe Saurombe
Keyword(s):  
Social Media ◽  
Southern Africa ◽  
Research Strategy ◽  
Online Information ◽  
Civic Duty ◽  
Raising Awareness ◽  
National Archives ◽  
Social Media Platforms ◽  
Public Archives ◽  
Southern Regional

Archives serve as society's collective memory because they provide evidence of the past as well as promoting accountability and transparency of past actions. Appreciation of the archives should therefore result in citizens linking these records with their identity, history, civic duty and cultural heritage. However, research in east and southern Africa seems to indicate that very few citizens are aware of and use the archives. Social media platforms have been utilized to raise awareness about the archival institutions elsewhere. This study sought to find out whether the National Archives in east and southern Africa used social media to raise awareness about archives. The study involved 12 national archives affiliated to the East and Southern Regional Branch of the International Council on Archives (ESARBICA) using a multi-method research strategy. The findings indicated that social media platforms were not a preferred option in outreach strategies, even though they were recognized as useful means to reach online information seekers.

scholarly journals Political Parties in Indonesia and the Internet: A comparative analysis

2019 ◽  
Vol 3 (2) ◽  
Author(s):  
Muhammad Sigit Andhi Rahman ◽  
Ella S Prihatini
Keyword(s):  
Social Media ◽  
Political Parties ◽  
Digital Media ◽  
Information Provision ◽  
The Internet ◽  
Political Messages ◽  
Electoral Support ◽  
Social Media Platforms ◽  
Website Features ◽  
Use Of Internet

<p>This is the first such study of the use of Internet by political parties in Indonesia. It also documents parties’ websites performance index and online popularity for campaigning in 2019. The purpose of this comparative study is to look at how the Internet was used by Indonesian political parties approaching the 2019 elections. Internet campaign consists of two parts: online presence through political party website, and political marketing through social media. Total of 16 parties participating the elections next year were examined for how they are utilizing official websites and social media platforms. We created an index based on list of website features (scoring system) and then classify it into 4 variables (information provision, mobilization, engagement, and technological sophistication) containing 43 features. We also visualise the descriptive statistical analysis on parties’ social media accounts using RStudio software. The study found that despite half of Indonesian national population is using the Internet, political parties were not yet achieving their maximum potential in using the digital media to disseminate political messages and propaganda. The quality of most of the websites have been subpar. In addition, the quality seems to have no relationship with the financial resources and the current parliamentary size of political parties. On average, official social media accounts run by parties has only been used in the last 3.25 years. Well-established older parties in Indonesia continue to engage with their constituents without heavily relying on social media. Yet, this situation is very likely to change in the future as parties’ elites are now beginning to look into this platform as they seek out to the millennials for electoral support.</p>

scholarly journals Social Media Behavior and Emotional Evolution during Emergency Events

Healthcare ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1109
Author(s):  
Mingyun Gu ◽  
Haixiang Guo ◽  
Jun Zhuang
Keyword(s):  
Social Media ◽  
Online Social Networks ◽  
User Behavior ◽  
Social Emotional ◽  
Critical Function ◽  
Sina Weibo ◽  
Emergency Event ◽  
Social Media Platforms ◽  
New Perspective ◽  
The Impact

Online social networks have recently become a vital source for emergency event news and the consequent venting of emotions. However, knowledge on what drives user emotion and behavioral responses to emergency event developments are still limited. Therefore, unlike previous studies that have only explored trending themes and public sentiment in social media, this study sought to develop a holistic framework to assess the impact of emergency developments on emotions and behavior by exploring the evolution of trending themes and public sentiments in social media posts as a focal event developed. By examining the event timelines and the associated hashtags on the popular Chinese social media site Sina-Weibo, the 2019 Wuxi viaduct collapse accident was taken as the research object and the event timeline and the Sina-Weibo tagging function focused on to analyze the behaviors and emotional changes in the social media users and elucidate the correlations. It can conclude that: (i) There were some social media rules being adhered to and that new focused news from the same event impacted user behavior and the popularity of previous thematic discussions. (ii) While the most critical function for users appeared to express their emotions, the user foci changed when recent focus news emerged. (iii) As the news of the collapse deepened, the change in user sentiment was found to be positively correlated with the information released by personal-authentication accounts. This research provides a new perspective on the extraction of information from social media platforms in emergencies and social-emotional transmission rules.

scholarly journals NAVIGATING THE POST-TRUTH ERA: TRUST, MISINFORMATION, AND CREDIBILITY ASSESSMENT ON ONLINE SOCIAL MEDIA

2019 ◽  
Vol 2019 ◽  
Author(s):  
Eleni A. Kyza ◽  
Christiana Varda
Keyword(s):  
Social Media ◽  
Online News ◽  
Online Information ◽  
Theory Approach ◽  
Credibility Assessment ◽  
Individual Interviews ◽  
Online Social Media ◽  
Phase Study ◽  
Social Media Platforms ◽  
Study Participants

As access to news is increasingly mediated through social media platforms, there are rising concerns for citizens’ ability to evaluate online information and detect potentially misleading items. While many studies have reported on how people assess the credibility of information, there are few reports on processes related to evaluating information online and people’s decision to trust and share the information with others. This paper reports on the first part of a three-phase study which aimed to gain an in-depth understanding of citizens’ practices and needs in assessing the credibility of information shared online and co-create solutions to address this problem. Data were collected from three European countries, through a survey on misinformation perceptions, focus groups, follow-up individual interviews, and co-creation activities with three stakeholder groups. The data were analyzed qualitatively, using, primarily, a grounded theory approach. Results from the citizens’ stakeholder group indicate that personal biases, emotions, time constraints, and lack of supporting technologies impacts the credibility assessment of online news. Study participants also discussed the need for increased media literacy actions, especially in youth. Based on preliminary findings we argue that we need a diversified approach to support citizens’ resilience against the spread of misinformation.

scholarly journals Predictive Analytical Model for Microblogging Data Using Asset Bubble Modelling

2020 ◽  
Vol 14 (2) ◽  
pp. 108-118
Author(s):  
Srinidhi Hiriyannaiah ◽  
Siddesh G.M. ◽  
Srinivasa K.G.
Keyword(s):  
Social Media ◽  
Information Diffusion ◽  
Predictive Analytics ◽  
Heterogeneous Systems ◽  
Asset Bubble ◽  
Proposed Model ◽  
Different Types ◽  
Social Media Platforms ◽  
Types Of Information ◽  
Better Than

In recent days, social media plays a significant role in the ecosystem of the big data world and its different types of information. There is an emerging need for collection, monitoring, analyzing, and visualizing the different information from various social media platforms in different domains like businesses, public administration, and others. Social media acts as the representative with numerous microblogs for analytics. Predictive analytics of such microblogs provides insights into various aspects of the real-world entities. In this article, a predictive model is proposed using the tweets generated on Twitter social media. The proposed model calculates the potential of a topic in the tweets for the prediction purposes. The experiments were conducted on tweets of the regional election in India and the results are better than the existing systems. In the future, the model can be extended for analysis of information diffusion in heterogeneous systems.

Feasibility of developing a Twitter journal club for hematology/oncology education.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 11004-11004
Author(s):  
Elizabeth Henry ◽  
Devika Govind Das ◽  
Martina Cathryn Murphy
Keyword(s):  
Social Media ◽  
Journal Club ◽  
Meta Analysis ◽  
Small Subset ◽  
Tumor Type ◽  
Medical Trainees ◽  
Content Expert ◽  
Oncology Education ◽  
Social Media Platforms ◽  
Use Of Social Media

11004 Background: Medical trainees are increasingly utilizing social media platforms for professional development, networking and education. Twitter chats (TC) are a growing tool to engage health professionals in virtual multi-institutional, cross-discipline discussions. A meta-analysis of Twitter as a tool in residency education demonstrated high rates of satisfaction and concept retention. Despite rapid uptake, few studies address needs for social media use and implementation in graduate medical education. Methods: We created a Twitter account (@HOjournalclub) and registered a certified hashtag (#HOJournalClub) with healthcare symplur. For each monthly TC, a specific tumor type and relevant publication was selected. This information was disseminated and amplified to reach trainees on Twitter. A content expert was invited to each TC to provide additional commentary. During TCs, participants answer questions based on domains of critical journal appraisal. Qualitative and quantitative analysis was performed. Basic demographics and tracked hashtag use to measure impressions, participants, and tweets per TC were gathered. Responses were collated and general themes were assessed. Participants were surveyed on ease of participation, article accessibility, and prior use of social media for education. Results: Since inception, @HOJournalClub has grown to >650 followers. Most are US-based (83%) medical trainees or healthcare professionals. Additional followers are in South America, Africa, UK, Europe, Middle East, India, East Asia and Australia. Gender is evenly distributed (51% male, 49% female.) Five #HOJournalClub chats have been held to date. Each attracted a mean of 30 participants, generating a mean of 217 tweets. Chats garnered a mean of 270,000 impressions (221,000-319,000) in the 48h after TC. Most participants accessed the chat in real time, with a small subset responding at alternate times. This asynchronous use has enhanced international participation. In post-TC surveys, majority of respondents report being new (48%) or sporadic (48%) users of TCs. Survey participants reported TC participation increased interaction with others in the field, improved literature appraisal skills and led to changes in clinical practice. Conclusions: Implementation of a Twitter-based journal club is feasible and attracts participation from trainees, promoting engagement and networking. It represents a novel educational tool for engagement in multi-institutional, multi-national and cross-discipline discussion of relevant hematology/oncology literature.

Cyber-bullying research in Kenya: a meta-analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tom Kwanya ◽  
Angella C. Kogos ◽  
Lucy Wachera Kibe ◽  
Erick Odhiambo Ogolla ◽  
Claudia Onsare
Keyword(s):  
Social Media ◽  
Meta Analysis ◽  
Analysis Data ◽  
Cyber Bullying ◽  
Content Type ◽  
Publish Or Perish ◽  
Scholarly Publications ◽  
Social Media Platforms ◽  
Media Platform ◽  
Number Of Publications

Purpose Cyber-bullying is a form of harassment that is perpetrated using electronic media. The practice has become increasingly common especially with the growing ubiquity of social media platforms. Most cyber-bullying cases inevitably occur on Facebook because it is the most preferred social media platform. However, little is known about cyber-bullying research in Kenya. This paper aims to analyse the quantity, quality, visibility and authorship trends of scholarly publications on cyber-bullying from and/or about Kenya. Design/methodology/approach This study was conducted as a systematic literature review. A meta-analysis approach was used. Bibliometrics approaches were used to conduct the analysis. Data on the publications was collected from Google Scholar using Harzing's “Publish or Perish” software and then analysed and presented using Microsoft Excel, Notepad and VOSviewer. Findings The study yielded 359 research publications on cyber-bullying in Kenya. There was a gradual increment in the number of publications, peaking in 2018. Nearly half of the publications have not been cited indicating low uptake of research on cyber-bullying in Kenya. It also emerged that most of the research has been published on subscription channels thereby restricting their visibility, access and use. Minimal collaboration in research on cyber-bullying in Kenya was also observed since 67.4% of the publications were written by a single (one) author. The authors conclude that the quantity, quality and visibility of research on cyber-bullying in Kenya is low. Originality/value This is an empirical study. The findings can be used to promote and mainstream research on cyber-bullying in Kenya.

Building City Brand Through Social Media

2019 ◽  
pp. 674-694
Author(s):  
Linda Lea Elisabet Muinonen ◽  
Ashish Kumar
Keyword(s):  
Social Media ◽  
Online Social Networks ◽  
Brand Image ◽  
City Branding ◽  
City Brand ◽  
Brand Communities ◽  
Online Social Media ◽  
Challenges And Opportunities ◽  
Social Media Platforms ◽  
Search For Information

The recent transition from city marketing to city branding heralds a new era of representation and signification of cities as brands where conscious and planned practices are used to promote them as any other economic commodity. Given the tremendous impact of social media on brand image, city branding has to embrace this new channel to promote their cities as brands. On social media platforms users forming a brand community can significantly influence the brand image by co-creating the user-generated contents. Today, users search for information online and their behaviors and responses are influenced by online social networks and community practices. In addition, they perceive information from online social community highly credible and useful. As traditional firm generated information is losing its persuasive power to social media, it is never late for managers of city branding to embark on social media platforms to support online social media brand communities which in turn would influence city brand image positively by engaging users. Social media provides an excellent platform for users to form social media brand communities, where they can share inside knowledge and discuss about brands. The greater credibility of user generated contents on these platforms can significantly influence the user perception about the brands. The focus of this paper is to investigate challenges and opportunities of online social media brand communities in influencing brand image.

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