scholarly journals Exploring the Power of Social Media in Election Predictions

2019 ◽  
Vol 8 (2) ◽  
pp. 4539-4549
Keyword(s):  
Social Media ◽  
Economic Indicators ◽  
Prediction System ◽  
Traditional Methods ◽  
Election Forecasting ◽  
Forecasting Methods ◽  
Development Agenda ◽  
Election Prediction ◽  
Election Results ◽  
Diverse Nations

The forecasting of election’s outcome remained prevailed in prominence from pre-historic times and is still a delightful topic of the current era. The predictions of election results have been started from traditional methods to economic indicators and now is being swung by social media especially sentimental analysis. The present studies discuss the election forecasting methods carried out in diverse nations by the number of researchers till now. Furthermore, different number of approaches for electoral prediction using social media and economic dimensions has been investigated based on previous literature work. The main focus of this work is to study and examine various techniques, methods and parameters used for election predictions in distinct areas. Finally, we suggest some intelligent techniques which will be based upon some parameters such as the development agenda, party type and religionism etc for further modification in election prediction system, so as to enhance the accuracy of political forecasting globally

Web mining for the mayoral election prediction in Taiwan

2017 ◽  
Vol 69 (6) ◽  
pp. 688-701 ◽  
Author(s):  
Jia-Yen Huang
Keyword(s):  
Social Media ◽  
Web Mining ◽  
Semantic Analysis ◽  
Transport Infrastructure ◽  
Content Type ◽  
Part Of Speech ◽  
Phrase Extraction ◽  
Mayoral Election ◽  
Election Prediction ◽  
Election Results

Purpose The prediction of pre-election polls is an issue of concern for both politicians and voters. The Taiwan nine-in-one election held in 2014 ended with jaw-dropping results; apparently, traditional polls did not work well. As a remedy to this problem, the purpose of this paper is to utilize the comments posted on social media to analyze civilians’ views on the two candidates for mayor of Taichung City, Chih-chiang Hu, and Chia-Lung Lin. Design/methodology/approach After conducting word segmentation and part-of-speech tagging for the collected reviews, this study constructs the opinion phrase extraction rules for identifying the opinion words associated with the attribute words. Next, this study classifies the attribute words into six municipal governance-related topics and calculates the opinion scores for each candidate. Finally, this study uses correspondence analysis to transform opinion information on the candidates into a graphical display to facilitate the interpretation of voters’ views. Findings The results show that the topics of candidates’ backgrounds and transport infrastructure were the two most critical factors for the election prediction. Based on the predication, Lin outscores Hu by 17.74 percent which is close to the real election results. Research limitations/implications This study proposes new rules for the extraction of Chinese opinion words associated with attribute words. Practical implications This study applies Chinese semantic analysis to assist in predicting election results and investigating the topics of concern to voters. Originality/value The proposed opinion phrase extraction rules for Chinese social media, as well as the election forecast process, can provide valuable references for political parties and candidates to plan better nomination and election strategies.

scholarly journals The Food, Feelings, and Family Study: comparison of the efficacy of traditional methods, social media, and broadcast email to recruit pregnant women to an observational, longitudinal nutrition study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rebecca Smith ◽  
Crystal Alvarez ◽  
Sylvia Crixell ◽  
Michelle A. Lane
Keyword(s):  
Social Media ◽  
Pregnant Women ◽  
Family Study ◽  
Human Subjects ◽  
Recruitment Method ◽  
Traditional Methods ◽  
Chi Square ◽  
Recruitment Methods ◽  
Health Care Intervention ◽  
Time Investment

Abstract Background It is well known that recruitment is a challenging aspect of any study involving human subjects. This challenge is exacerbated when the population sought is reticent to participate in research as is the case with pregnant women and individuals with depression. This paper compares recruitment methods used for the Food, Feelings, and Family Study, an observational, longitudinal pilot study concerning how diet and bisphenol A exposure affect maternal mood and cognitive function during and after pregnancy. Methods Pregnant women were recruited to this study over a period of 15 months using traditional methods, social media including paid and unpaid posts, and emails broadcast to the university community. Contingency analysis using the Pearson’s Chi-square test was used to determine if recruitment method was associated with likelihood of participation. T-tests were used to analyze Facebook advertisement success. ANOVAs and Fisher exact tests were used to determine if recruitment method was related to continuous and categorical demographics, respectively. Results Social media resulted in the largest number of recruits, followed by traditional methods and broadcast email. Women recruited through social media were less likely to participate. In contrast, use of broadcast email resulted in a smaller pool of recruits but these recruits were more likely to be eligible for and complete the study. Most women recruited via social media were the result of unpaid posts to the study’s Facebook page. Paid posts lasting at least 4 days were the most successful. Recruitment method was not associated with participant demographics. Conclusions Social media has the potential to recruit a large pool of potential subjects; however, when studies require a large time investment such as the case here, women recruited through social media are less likely to participate and complete the study than women recruited through other means. Trial registration N/A. This study does not describe a health care intervention.

From Cannes to Cardboard: The Circulation and Promotion of Visages Villages and the Auteur on Instagram

2021 ◽  
Vol 36 (1) ◽  
pp. 155-185
Author(s):  
Matt St. John
Keyword(s):  
Social Media ◽  
Press Coverage ◽  
Traditional Methods ◽  
Self Presentation ◽  
Academy Awards ◽  
Special Events ◽  
Online Presence ◽  
Academy Award ◽  
Award Nomination

Abstract This article explores the Instagram activities of Agnès Varda and her Visages Villages (Faces Places, France, 2017) codirector JR to consider the role of social media in the film's theatrical release and awards campaign, which led to the film's nomination for Best Documentary Feature—Varda's first and only Academy Award nomination. Through analysis of Varda's posts and her appearances on JR's Instagram, the author argues that social media complemented the film's conventional promotion while extending Varda's aesthetic practices and interests, offering one of the final examples of her consistent, enthusiastic experiments with new forms of media. On Instagram, Varda recycled and recontextualized the strategies of self-presentation and formal play seen in her documentaries for a different format, as she posted images and videos involving premieres, special events, and press coverage from her perspective. Throughout the film's release and awards campaign, social media began to function as an atypical way to draw attention to the film and its directors, especially for a low-budget documentary. The Visages Villages team merged traditional methods of achieving visibility with an unusual and intentional online presence, culminating in substantial coverage from new types of outlets when JR traveled to the Academy Awards luncheon with cardboard cutouts of Varda.

Social Media and Electoral Processes

2021 ◽  
pp. 1-17
Author(s):  
Bianca Fox ◽  
Valentina Marinescu
Keyword(s):  
Social Media ◽  
Diffusion Of Innovations ◽  
Election Campaign ◽  
Insufficient Evidence ◽  
Diffusion Of Innovations Theory ◽  
Electoral Campaigns ◽  
Electoral Outcomes ◽  
Research Questions ◽  
Election Results ◽  
European Election

Existing research documents extensively explain the reasons for social media use during electoral campaigns. However, there is insufficient evidence showing that social media are indeed being used to complement traditional ways of communication. This chapter uses the diffusion of innovations theory to explain the adoption and non-adoption of Facebook (FB) by Romanian political parties during the 2019 European election campaign. The chapter addresses two research questions: the differences between Facebook adopters and non-adopters during this campaign in Romania and how this adoption or non-adoption impacted the overall election results. 885 Facebook posts were content analysed. This chapter evidences that adopting Facebook to engage the posts does not always result in improved electoral outcomes.

Nature of Tweets in the 2015 Nigerian Presidential Elections

2015 ◽  
Vol 2 (2) ◽  
pp. 34-52 ◽  
Author(s):  
Nwachukwu Andrew Egbunike ◽  
Noel Ihebuzor ◽  
Ngozi Onyechi
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Presidential Election ◽  
Social Engagement ◽  
Presidential Elections ◽  
Hate Speech ◽  
Political Mobilization ◽  
Election Results

Social media is becoming increasingly important as a means for social engagement. In Nigeria, Twitter is employed to convey opinion and make commentary on matters ranging from football to politics. Tweets are also used to inform, advocate, recruit and even incite. Previous studies have shown that Twitter could be effective for political mobilization. However, there is dearth of research on how Twitter has been used as a purveyor of neutral and/or hate speech in the Nigerian context. This study examined the nature of tweets in the immediate aftermath of the 2015 presidential election in Nigeria. The authors employed content analysis of 250 purposively selected tweets from the #Igbo hashtag which trended between March 29 and 31, 2015. The tweets were then categorized into five explicit hate and one neutral tweet category respectively. Results revealed the dominance of three hate tweet types: derogatory, mocking and blaming. These findings were then discussed bearing in mind earlier theories on the functionality of tweets and voting patterns from an analysis of the election results.

Social Media Ethics and Children in the Digital Era

2021 ◽  
pp. 166-182
Author(s):  
Kevser Zeynep Meral
Keyword(s):  
Social Media ◽  
United Nations ◽  
Children's Rights ◽  
Children’S Rights ◽  
Media Ethics ◽  
Traditional Methods ◽  
Digital Era ◽  
United Nations Convention ◽  
Advertising Literacy

Social media users have increased to 3.5 billion including children users. Social media affects children as well. Although children's rights are protected by United Nations Convention, and advertising addressing children is not ethical, the embedded, integrated advertising in social media is more difficult for children due to their lack of advertising literacy because it is much easier to differentiate advertising in traditional methods compared to digital advertising via social media, where social media integrated advertising is used. This study aims to clarify social media and ethics concepts and how social media advertisements affect children in the digital era.

US poll security will likely still be issue in 2020

2019 ◽  
Keyword(s):  
Social Media ◽  
Presidential Election ◽  
Content Type ◽  
Public Pressure ◽  
Election Results ◽  
Election Systems ◽  
Media Firms

Significance The bill will move to the Senate, where Republicans fear it over-reaches into states’ powers to manage elections. The standoff takes place within the context of the aftermath of the 2016 presidential election, in which Russians interfered via informational techniques and social media. The bill is designed to prevent another such occurrence, but the ability for actors to manipulate election results is more far-reaching than the methods addressed in this bill. Impacts The bill would authorise federal money annually to improve and maintain states’ election systems. Social media firms will face more government and public pressure to prevent foreign election interference via their platforms. Social media firms will find it difficult to police their platforms without increasing editorial control.

scholarly journals Social Media and Social Class in China: How Social Media Accelerates Class Consolidation and Social Stratification) Based on Socio-economic Indicators (

1970 ◽  
Vol 2 (2) ◽  
pp. 20-36
Author(s):  
Changyue Minnie Ma
Keyword(s):  
Social Media ◽  
Social Class ◽  
Social Mobility ◽  
Social Stratification ◽  
Economic Indicators ◽  
Government Regulations ◽  
Middle Classes ◽  
Working Classes ◽  
Social Media Platforms ◽  
Chinese Social Media

This paper examines the development of Chinese social media platforms and corresponding socio-economic indicators. Applying Bourdieu's concepts of cultural capital and Fukuyama’s concepts of social capital, this paper analyzes various social media platforms and their impact on mobility across social classes in China. Government regulations are highly involved in Chinese social media platforms. Through measuring education, consumption, income inequality, social mobility, and other related socio-economic indicators, this paper argues that the emergence of social media platforms revolutionizes the traditional social class structure and results in a unique social stratification in China. Social media platforms empower upper classes, middle classes, and working classes differently. This paper's central proposition is that the rise of social media blurs boundaries between middle and working classes, but strengthens the upper classes' distinctiveness and further consolidates their capital. The models applied in this paper advances our understanding of the rise of social media and its role in advocating for social mobility while also its role in facilitating class consolidation.

Sign in / Sign up

Export Citation Format

Share Document