Predicting Future with Social Media Based on Sentiment and Quantitative Analysis

2018 ◽  
pp. 199-209
Author(s):  
Sahil Sharma ◽  
Jon Rokne ◽  
Reda Alhajj
Keyword(s):  
Social Media ◽  
Quantitative Analysis

La pluralidad denominativa de la Traducción e Interpretación en los Servicios Públicos a través de Twitter y YouTube

2021 ◽  
Vol 66 (1) ◽  
pp. 180-192
Author(s):  
Carmen Mª Cedillo Corrochano
Keyword(s):  
Social Media ◽  
Quantitative Analysis ◽  
Public Service ◽  
Professional Knowledge ◽  
Spanish Society ◽  
Society Today

Abstract Public Service Interpreting and Translation –PSIT– is a specialty of the studies of Translation and Interpreting that generates controversy in the specialized literature in its most basic defining aspects. For this reason, a reading of the literature will reveal a lack of consensus in its own conceptualisation; something essential for its social and professional knowledge/acknowledgment. Thus, this article will focus on the denominational plurality of the PSIT in Spain and will offer a quali-quantitative analysis of the names under which it is known in Spain and the use of these names in two of the most popular social media in Spanish society today: Twitter and YouTube.

#GomorraLaSerie: Converging audience and enhanced authorship on twenty-first-century Italian screens

Modern Italy ◽  
2015 ◽  
Vol 20 (4) ◽  
pp. 335-349 ◽  
Author(s):  
Pierluigi Erbaggio
Keyword(s):  
Social Media ◽  
Quantitative Analysis ◽  
Young People ◽  
Qualitative Study ◽  
Organised Crime ◽  
First Century ◽  
Social Media Platform ◽  
Screen Viewing ◽  
The Social ◽  
Media Platform

Based on Roberto Saviano's book Gomorra (2006), production of the TV series Gomorra – La serie (2014) was met with scepticism as many feared it would glamorise organised crime and, consequently, attract young people toward Camorra affiliation. The series' bleak portrayal of criminals and criminality was offered as a response to such concerns. Despite the preoccupations, Gomorra – La serie was hugely successful and, because of its quality, was sold to other countries. In Italy, the series' success can be measured by the popularity of its Twitter hashtag #GomorraLaSerie. Engaged with Henry Jenkins' theories of media convergence and based on a corpus of tweets bearing this official hashtag, this article proposes a quantitative analysis and advances conclusions regarding the Italian TV audience and second-screen viewing practices. Additionally, through a qualitative study of Saviano's tweets about the series, it examines the writer's use of the social media platform as a tool of narrative continuity. Finally, the article highlights a few examples of fan-generated media and concludes with remarks regarding Saviano's problematic position at the centre of a transmedia object.

scholarly journals Emotionalization and Privatization of Political Communication on Facebook

2021 ◽  
Vol 11 (22) ◽  
pp. 3-23
Author(s):  
Milica Vučković ◽  
Tanja Oblak Črnič
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Quantitative Analysis ◽  
Political Communication ◽  
Longitudinal Analysis ◽  
Private Life ◽  
Personal Life ◽  
Political Issues ◽  
Emotional Appeals ◽  
Political Figure

Social media are usually accused of being one of the major forces for personalization of ‏political communication and consequently for depolitization of recent politics. However, personalization ‏seems to stimulate certain users to pay more attention to political issues and to act more responsively to ‏such highly personalized political profiles. This article presents the results of a longitudinal analysis of ‏online presence of Barack Obama to assess his political communication through Facebook. It also answers ‏if presence of emotional appeals and private life cues in the posts have any effect on users’ responses in‏ terms of numbers of their likes, comments and shares. Based on a quantitative analysis of 2804 Facebook ‏posts, published in the period from 2008 to 2016, the results of content analysis revealed that Obama ‏used his Facebook fan page almost exclusively to communicate about political issues instead of his ‏personal life. The analysis also confirmed that a smaller number of posts, which contained emotional ‏appeals or cues from private life had significantly higher numbers of users’ responses than posts that ‏were not emotionalized or privatized. While personalization of Obama’s political figure is part of a wider‏ debate, this study confirms that the presence of private cues and emotional appeals stimulates greater‏ responsiveness from Facebook users.

scholarly journals Public Assessment of the Activities of the Russian Police in Social Media (On the Example of the Samara Region)

2020 ◽  
Vol 19 (4) ◽  
pp. 85-94
Author(s):  
T.M. Bormotova ◽  
◽  
Yu.N. Mazaev ◽  
O.V. Yakovlev ◽  
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Quantitative Analysis ◽  
Comprehensive Analysis ◽  
Factors Affecting ◽  
Main Factors

based on a comprehensive analysis of content, posted text and video arrays of publications in Internet sources and social media of the Samara region, the main factors affecting the formation of public opinion about the police are considered. Quantitative analysis of the publication arrays revealed the tone of meaningful interpretation of numerical patterns of information about the activities of the regional police. Recommendations aimed at improving the attitude of the population to the work of the regional police are formulated.

scholarly journals Social and institutional presence of the Heads of Government of the Americas on Social Media

2021 ◽  
Vol 8 (1) ◽  
pp. 104-129
Author(s):  
Lucas Dejard Moreira Mendonça ◽  
Adriano Madureira dos Santos ◽  
Harold Dias de Mello Junior ◽  
Rita de Cássia Romeiro Paulino ◽  
Karla Figueiredo ◽  
...  
Keyword(s):  
Social Media ◽  
Quantitative Analysis ◽  
North America ◽  
Qualitative Analysis ◽  
Communication Tool ◽  
Direct Communication ◽  
Institutional Leadership ◽  
Successful Communication ◽  
Political Interference ◽  
Heads Of Government

This article examined the personal profiles of the Heads of Government of countries in South/North America and how they communicated with their audiences on institutional measures to contain COVID-19. Analyses were carried out on data collected from Twitter from November-2019 to November-2020. This study includes: i)quantitative analysis, measuring categories and emphases in the communication of tweets, retweets, likes, and comments on matters relevant to the pandemic; ii)qualitative analysis that allowed evaluating speeches to identify political interference and the effectiveness of communication at critical moments of the pandemic. It was possible to infer that each president has his singularities and understanding about Social Media’s use as a more direct communication tool with his audience. It was also found that successful communication is not directly proportional to the volume of messages on Twitter, but to socio-political aspects and institutional leadership that can make a difference in Social Media in combating COVID-19.

scholarly journals Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study

10.2196/18700 ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. e18700 ◽  
Author(s):  
Jiawei Li ◽  
Qing Xu ◽  
Raphael Cuomo ◽  
Vidya Purushothaman ◽  
Tim Mackey
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Hubei Province ◽  
Wuhan City ◽  
Social Media Data ◽  
Public Reaction ◽  
Media Data ◽  
Chinese Social Media

Background The coronavirus disease (COVID-19) pandemic, which began in Wuhan, China in December 2019, is rapidly spreading worldwide with over 1.9 million cases as of mid-April 2020. Infoveillance approaches using social media can help characterize disease distribution and public knowledge, attitudes, and behaviors critical to the early stages of an outbreak. Objective The aim of this study is to conduct a quantitative and qualitative assessment of Chinese social media posts originating in Wuhan City on the Chinese microblogging platform Weibo during the early stages of the COVID-19 outbreak. Methods Chinese-language messages from Wuhan were collected for 39 days between December 23, 2019, and January 30, 2020, on Weibo. For quantitative analysis, the total daily cases of COVID-19 in Wuhan were obtained from the Chinese National Health Commission, and a linear regression model was used to determine if Weibo COVID-19 posts were predictive of the number of cases reported. Qualitative content analysis and an inductive manual coding approach were used to identify parent classifications of news and user-generated COVID-19 topics. Results A total of 115,299 Weibo posts were collected during the study time frame consisting of an average of 2956 posts per day (minimum 0, maximum 13,587). Quantitative analysis found a positive correlation between the number of Weibo posts and the number of reported cases from Wuhan, with approximately 10 more COVID-19 cases per 40 social media posts (P<.001). This effect size was also larger than what was observed for the rest of China excluding Hubei Province (where Wuhan is the capital city) and held when comparing the number of Weibo posts to the incidence proportion of cases in Hubei Province. Qualitative analysis of 11,893 posts during the first 21 days of the study period with COVID-19-related posts uncovered four parent classifications including Weibo discussions about the causative agent of the disease, changing epidemiological characteristics of the outbreak, public reaction to outbreak control and response measures, and other topics. Generally, these themes also exhibited public uncertainty and changing knowledge and attitudes about COVID-19, including posts exhibiting both protective and higher-risk behaviors. Conclusions The results of this study provide initial insight into the origins of the COVID-19 outbreak based on quantitative and qualitative analysis of Chinese social media data at the initial epicenter in Wuhan City. Future studies should continue to explore the utility of social media data to predict COVID-19 disease severity, measure public reaction and behavior, and evaluate effectiveness of outbreak communication.

scholarly journals A Quantitative Analysis of Social Media to Determine Trends in Brain Tumor Care and Treatment

Cureus ◽  
2020 ◽  
Author(s):  
Cylaina E Bird ◽  
Elliott D Kozin ◽  
Scott Connors ◽  
Christian LoBue ◽  
Kalil Abdullah
Keyword(s):  
Social Media ◽  
Brain Tumor ◽  
Quantitative Analysis ◽  
Care And Treatment

Authoritarian communication on social media: The relationship between democracy and leaders’ digital communicative practices

2018 ◽  
Vol 81 (1) ◽  
pp. 20-45 ◽  
Author(s):  
Andrew Bulovsky
Keyword(s):  
Social Media ◽  
Quantitative Analysis ◽  
Significant Relationship ◽  
Power Structures ◽  
Communicative Practices ◽  
Qualitative Case Studies ◽  
Democratic Regimes ◽  
Policy Statements ◽  
Authoritarian Communication ◽  
The Relationship

This research considers authoritarian leaders’ communicative practices on Twitter relative to their democratic counterparts. After a quantitative analysis of 144 world leaders’ Twitter accounts, this study identifies a positive and statistically significant relationship between a country’s level of democracy and its leader’s (1) average number of tweets per day and (2) proportion of tweets that are replies to other users. Additionally, qualitative case studies of Russia, Turkey, and Estonia reveal that authoritarian leaders’ accounts are of a relatively lower quality. Namely, they follow a less diverse set of accounts, have a higher proportion of inactive followers, and tend to tweet projections of power over policy statements. Ultimately, these results reveal an authoritarian preference for uni-directional communication and a democratic preference for multi-directional communication—a stylistic difference partially attributable to stronger incentives from political power structures in general and competitive elections in particular in democratic regimes.

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