Synthesis of Social Media Messages and Tweets as Feedback Medium in Introductory Programming

2019 ◽  
pp. 3-16 ◽  
Author(s):  
Sonny Kabaso ◽  
Abejide Ade-Ibijola
Keyword(s):  
Social Media ◽  
Introductory Programming ◽  
Media Messages

scholarly journals 1414. #Vaccine Twitter Influencers: is it Just About Reach and Followers?

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S714-S715
Author(s):  
Jean-Etienne Poirrier ◽  
Theodore Caputi ◽  
John Ayers ◽  
Mark Dredze ◽  
Sara Poston ◽  
...  
Keyword(s):  
United States ◽  
Social Media ◽  
Standard Deviation ◽  
Small Proportion ◽  
The United States ◽  
Research Support ◽  
Policy Makers ◽  
Media Messages ◽  
Social Media Platforms ◽  
The Impact

Abstract Background A small number of powerful users (“influencers”) dominates conversations on social media platforms: less than 1% of Twitter accounts have at least 3,000 followers and even fewer have hundreds of thousands or millions of followers. Beyond simple metrics (number of tweets, retweets...) little is known about these “influencers”, particularly in relation to their role in shaping online narratives about vaccines. Our goal was to describe influential Twitter accounts that are driving conversations about vaccines and present new metrics of influence. Methods Using publicly-available data from Twitter, we selected posts from 1-Jan-2016 to 31-Dec-2018 and extracted the top 5% of accounts tweeting about vaccines with the most followers. Using automated classifiers, we determined the location of these accounts, and grouped them into those that primarily tweet pro- versus anti-vaccine content. We further characterized the demographics of these influencer accounts. Results From 25,381 vaccine-related tweets available in our sample representing 10,607 users, 530 accounts represented the top 5% by number of followers. These accounts had on average 1,608,637 followers (standard deviation=5,063,421) and 340,390 median followers. Among the accounts for which sentiment was successfully estimated by the classifier, 10.4% (n=55) posted anti-vaccine content and 33.6% (n=178) posted pro-vaccine content. Of the 55 anti-vaccine accounts, 50% (n=18) of the accounts for which location was successfully determined were from the United States. Of the 178 pro-vaccine accounts, 42.5% (n=54) were from the United States. Conclusion This study showed that only a small proportion of Twitter accounts (A) post about vaccines and (B) have a high follower count and post anti-vaccine content. Further analysis of these users may help researchers and policy makers better understand how to amplify the impact of pro-vaccine social media messages. Disclosures Jean-Etienne Poirrier, PhD, MBA, The GSK group of companies (Employee, Shareholder) Theodore Caputi, PhD, Good Analytics Inc. (Consultant) John Ayers, PhD, GSK (Grant/Research Support) Mark Dredze, PhD, Bloomberg LP (Consultant)Good Analytics (Consultant) Sara Poston, PharmD, The GlaxoSmithKline group of companies (Employee, Shareholder) Cosmina Hogea, PhD, GlaxoSmithKline (Employee, Shareholder)

Framing in Health Communication: Identifying the Factors That Influence the Re-posting of Social Media Messages during COVID-19 Outbreaks in China (Preprint)

2021 ◽  
Author(s):  
Jingzhong Xie ◽  
Jun Lai ◽  
Dongying Zhang
Keyword(s):  
Social Media ◽  
Health Communication ◽  
Health Information ◽  
Information Needs ◽  
Information Sources ◽  
Negative Binomial ◽  
Public Awareness ◽  
Public Health Agencies ◽  
Media Messages ◽  
Action Frame

BACKGROUND Social media has become an important tool to implement risk communication in COVID-19 pandemic, and made health information can gain more exposure by re-posting. OBJECTIVE This paper attempts to identify the factors associated with re-posting of social media messages about health information METHODS Content analysis was applied to scrutinize 4396 Weibo posts that were posted by national and provincial public health agencies Weibo accounts and identified features of information sources and information features, and adopted Zero-Inflated Negative Binomial (ZINB) model to analyze the association between these features and the frequency of message being re-posted. RESULTS Results showed that the followers and the governmental level of information sources are correlated with increased message reposting. The information features, such as hashtags#, picture, video, emotional(!), and the usage of severity, reassurance, efficacy and action frame were associated with increased message reposting behaviors, while hyperlink and usage of uncertainty frame correlated with reduced message reposting behaviors. CONCLUSIONS The features of health information sources, structures , style and content should be paid close attention by health organizations and medical professionals to satisfy the public’s information needs and preferences, promote the public's health engagement. Suitable information systems designing, and health communication strategies making during different stages of the pandemic may improve public awareness of the COVID-19, alleviate negative emotions, promote preventive measures to curb the spread of the virus.

The effect of emotional positivity of brand-generated social media messages on consumer attention and information sharing

2022 ◽  
Vol 140 ◽  
pp. 49-61
Author(s):  
João S. Oliveira ◽  
Kemefasu Ifie ◽  
Martin Sykora ◽  
Eleni Tsougkou ◽  
Vitor Castro ◽  
...  
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Media Messages ◽  
Consumer Attention

Extraction of temporal information from social media messages using the BERT model

2022 ◽  
Author(s):  
Kai Ma ◽  
Yongjian Tan ◽  
Miao Tian ◽  
Xuejing Xie ◽  
Qinjun Qiu ◽  
...  
Keyword(s):  
Social Media ◽  
Temporal Information ◽  
Media Messages

scholarly journals Understanding coronavirus disease (COVID-19) risk perceptions among the public to enhance risk communication efforts: a practical approach for outbreaks, Finland, February 2020

2020 ◽  
Vol 25 (13) ◽  
Author(s):  
Anna-Leena Lohiniva ◽  
Jussi Sane ◽  
Katja Sibenberg ◽  
Taneli Puumalainen ◽  
Mika Salminen
Keyword(s):  
Social Media ◽  
Risk Perception ◽  
Risk Communication ◽  
Thematic Analysis ◽  
Risk Perceptions ◽  
Qualitative Data ◽  
Practical Approach ◽  
The Public ◽  
Media Messages ◽  
Risk Magnitude

Understanding risk perceptions of the public is critical for risk communication. In February 2020, the Finnish Institute for Health and Welfare started collecting weekly qualitative data on coronavirus disease (COVID-19) risk perception that informs risk communication efforts. The process is based on thematic analysis of emails and social media messages from the public and identifies factors linked to appraisal of risk magnitude, which are developed into risk communication recommendations together with health and communication experts.

scholarly journals Ignoring messages in a digital environment: Analyze of flash mob #неотвечатьгрубо

2021 ◽  
Vol 5 (4) ◽  
pp. 81-90
Author(s):  
A.I. Eremenko ◽  
◽  
A.S. Rinchinova ◽  
Keyword(s):  
Social Media ◽  
Statistical Data ◽  
Digital Environment ◽  
Media Messages ◽  
The People

This article provides an analysis of the statistical data of the flash mob #неотвечатьгрубо. Its essence lies in the fact that one has to respond to a long-forgotten and ignored social media messages. According to the research 79% of the people ignored strangers. 66% of those who ignored were women, the largest number (41%) of ignored messages included messages from acquaintances who shared their plans or were interested in the life of the interlocutor, the most popular reaction to an unexpected message (53%), unfortunately, was ignoring this message. The reason for this might be the fact that the majority of the participants took a snapshot of the chats immediately after sending the message. Most likely, the addressees have not yet had time to read it.

scholarly journals Quality of argumentation in political tweets: what is and how to measure it / Qualidade da argumentação em tweets de política: o que e como avaliar

2021 ◽  
Vol 29 (4) ◽  
pp. 2537
Author(s):  
Cássio Faria da Silva ◽  
Amanda Pontes Rassi ◽  
Jackson Wilke da Cruz Souza ◽  
Renata Ramisch ◽  
Roger Alfredo de Marci Rodrigues Antunes ◽  
...  
Keyword(s):  
Social Media ◽  
Internet Access ◽  
Brazilian Portuguese ◽  
Human Beings ◽  
Media Messages ◽  
Abstract Argumentation ◽  
Emotional Appeal ◽  
Rhetorical Dimension ◽  
Argumentative Texts

Abstract: Argumentation is something inherent to human beings and essential to written and spoken communication. Because of the popularization of Internet access, social media are one of the main means of creation and profusion of argumentative texts in various fields, such as politics. As a way to contribute to research related to the assessment of the quality of argumentation in Portuguese, we aim in this paper to propose and validate criteria and guidelines for the assessment of the quality of argumentation in Twitter posts in the domain of politics. For this purpose, a corpus was produced and annotated with tweets whose content is related to the Brazilian political scenario. The texts were collected in the first months of 2021, resulting in 1,649,674 posts. From the analysis of a sample, we defined linguistic criteria that would potentially characterize relevant aspects of the rhetorical dimension of argumentation, namely: (i) Clarity, (ii) Arrangement, (iii) Credibility, and (iv) Emotional appeal. After this phase of analysis, we proposed the annotation of a new set of 400 tweets, by four annotators. As a result, an agreement of around 70% for three out of four annotators was obtained. It is worth noting that this is the first work that proposes linguistic criteria for the evaluation of the quality of argumentation in social medias for Brazilian Portuguese. It is intended to construct a computer model that can automatically evaluate the quality of argumentation in social media messages, such as Twitter, based on the establishment of linguistic criteria, annotation rules, and annotated corpus.Keywords: argumentation; corpus; quality; rhetorical dimension; tweets; politics.Resumo: A argumentação é algo inerente ao ser humano e essencial para a comunicação escrita e falada. Por conta da popularização do acesso à Internet, as redes sociais são um dos principais meios de criação e profusão de textos argumentativos de vários domínios, como a política. Como forma de contribuir com as pesquisas relacionadas à avaliação da qualidade da argumentação em português, este trabalho tem como objetivo propor e validar critérios e diretrizes para a avaliação da qualidade da argumentação em postagens no Twitter no domínio da política. Para tanto, produziu-se um corpus anotado com tweets cujo conteúdo relaciona-se ao cenário político brasileiro. Os textos foram coletados nos primeiros meses de 2021, resultando em 1.649.674 postagens. A partir da análise de uma amostra, foram definidos critérios linguísticos que potencialmente caracterizariam aspectos relevantes da dimensão retórica da argumentação, a saber: (i) Clareza, (ii) Organização, (iii) Credibilidade e (iv) Apelo emocional. Após essa fase de análise, propôs-se a anotação de um novo conjunto de 400 tweets, por quatro anotadores. Como resultado, obteve-se uma concordância de cerca de 70% entre 3 dos 4 anotadores. Vale ressaltar que esse é o primeiro trabalho que propõe critérios linguísticos para a avaliação da qualidade da argumentação em redes sociais para o português brasileiro. A partir da definição dos critérios linguísticos, diretrizes de anotação e corpus anotado, espera-se construir um modelo computacional que possa avaliar automaticamente a qualidade da argumentação em textos de redes sociais, como o Twitter.Palavras-chave: argumentação; corpus; qualidade; dimensão retórica; tweets; política.

Authorship Attribution of Social Media Messages

2021 ◽  
pp. 1-14
Author(s):  
Antonio Theophilo ◽  
Romain Giot ◽  
Anderson Rocha
Keyword(s):  
Social Media ◽  
Authorship Attribution ◽  
Media Messages
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