scholarly journals Understanding the Emotional Intelligence Discourse on Social Media: Insights from the Analysis of Twitter

2021 ◽  
Vol 9 (4) ◽  
pp. 56
Author(s):  
Shardul Shankar ◽  
Vijayshri Tewari
Keyword(s):  
Social Media ◽  
Emotional Intelligence ◽  
Language Processing ◽  
Information Diffusion ◽  
Information Dissemination ◽  
Research And Practice ◽  
Network Analytics ◽  
Twitter Analytics ◽  
Social Media Platforms ◽  
Use Of Social Media

Social networks have created an information diffusion corpus that provides users with an environment where they can express their views, form a community, and discuss topics of similar or dissimilar interests. Even though there has been an increasingly rising demand for conducting an emotional analysis of the users on social media platforms, the field of emotional intelligence (EI) has been rather slow in exploiting the enormous potential that social media can play in the research and practice of the framework. This study, thus, tried to examine the role that the microblogging platform Twitter plays in enhancing the understanding of the EI community by building on the Twitter Analytics framework of Natural Language Processing to further develop the insights of EI research and practice. An analysis was conducted on 53,361 tweets extracted using the hashtag emotional intelligence through descriptive analytics (DA), content analytics (CA), and network analytics (NA). The findings indicated that emotional intelligence tweets are used mostly by speakers, psychologists (or other medical professionals), and business organizations, among others. They use it for information dissemination, communication with stakeholders, and hiring. These tweets carry strong positive sentiments and sparse connectedness. The findings present insights into the use of social media for understanding emotional intelligence.

scholarly journals Do policymakers use social media for policy design? A Twitter analytics approach

2021 ◽  
Vol 25 ◽  
Author(s):  
Ashish Kumar Rathore ◽  
Dayashankar Maurya ◽  
Amit Kumar Srivastava
Keyword(s):  
Social Media ◽  
Policy Design ◽  
Public Policies ◽  
Limited Attention ◽  
Social Media Analytics ◽  
The Public ◽  
Information Awareness ◽  
Twitter Analytics ◽  
Social Media Platforms ◽  
Use Of Social Media

Social media has been used widely for communicating information, awareness, and promote public policies by government agencies. However, limited attention has been paid to the use of social media in improving the design of public policies. This paper explores to what extent citizens' responses/opinions expressed on social media platforms contribute to policy design.  The paper analyzes discussion about the 'Ayushman Bharat' scheme on Twitter through social media analytics techniques (e.g., content analytics) and then traces the change in policy design over two years.  To validate findings from Twitter data, and assess the evolution in policy design, we conducted in-depth interviews with experts and extensive document analysis. The paper reveals that consistently similar issues were raised by the experts in the past as well as by the citizens in the current scheme. However, over the period, the policy design has not changed significantly. Therefore, despite a strong social media presence, its optimum use to improve policy effectiveness is yet to be achieved. The paper contributes by exploring the role social media can play in the public policy process and policy design in developing countries' contexts and identifies gaps in existing social media strategies of public agencies.

Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice

2020 ◽  
pp. 1-5
Author(s):  
Meghan Lynch ◽  
Irena Knezevic ◽  
Kennedy Laborde Ryan
Keyword(s):  
Social Media ◽  
Low Cost ◽  
Online News ◽  
News Article ◽  
Discussion Forums ◽  
Research And Practice ◽  
The Public ◽  
Related Data ◽  
Social Media Platforms ◽  
Article Comment

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.

scholarly journals Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 556
Author(s):  
Thaer Thaher ◽  
Mahmoud Saheb ◽  
Hamza Turabieh ◽  
Hamouda Chantar
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Feature Selection ◽  
Language Processing ◽  
User Profile ◽  
Vital Role ◽  
Classification Model ◽  
Fake News ◽  
False Information ◽  
Social Media Platforms

Fake or false information on social media platforms is a significant challenge that leads to deliberately misleading users due to the inclusion of rumors, propaganda, or deceptive information about a person, organization, or service. Twitter is one of the most widely used social media platforms, especially in the Arab region, where the number of users is steadily increasing, accompanied by an increase in the rate of fake news. This drew the attention of researchers to provide a safe online environment free of misleading information. This paper aims to propose a smart classification model for the early detection of fake news in Arabic tweets utilizing Natural Language Processing (NLP) techniques, Machine Learning (ML) models, and Harris Hawks Optimizer (HHO) as a wrapper-based feature selection approach. Arabic Twitter corpus composed of 1862 previously annotated tweets was utilized by this research to assess the efficiency of the proposed model. The Bag of Words (BoW) model is utilized using different term-weighting schemes for feature extraction. Eight well-known learning algorithms are investigated with varying combinations of features, including user-profile, content-based, and words-features. Reported results showed that the Logistic Regression (LR) with Term Frequency-Inverse Document Frequency (TF-IDF) model scores the best rank. Moreover, feature selection based on the binary HHO algorithm plays a vital role in reducing dimensionality, thereby enhancing the learning model’s performance for fake news detection. Interestingly, the proposed BHHO-LR model can yield a better enhancement of 5% compared with previous works on the same dataset.

scholarly journals Faculty Use of Author Identifiers and Researcher Networking Tools

2017 ◽  
Vol 78 (2) ◽  
Author(s):  
Clara Y. Tran ◽  
Jennifer A. Lyon
Keyword(s):  
Social Media ◽  
Research Impact ◽  
State University ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Social Media Platforms ◽  
Low Levels ◽  
Use Of Social Media ◽  
Research Networking ◽  
Faculty Surveys

This cross-sectional survey focused on faculty use and knowledge of author identifiers and researcher networking systems, and professional use of social media, at a large state university. Results from 296 completed faculty surveys representing all disciplines (9.3% response rate) show low levels of awareness and variable resource preferences. The most utilized author identifier was ORCID while ResearchGate, LinkedIn, and Google Scholar were the top profiling systems. Faculty also reported some professional use of social media platforms. The survey data will be utilized to improve library services and develop intra-institutional collaborations in scholarly communication, research networking, and research impact.

scholarly journals Social Media in an Emergency: Use of Social Media in Rescuing Abducted School Girls in Nigeria

2019 ◽  
Vol 13 ◽  
pp. 67-75
Author(s):  
Muhammad Abdullahi Maigari ◽  
Uthman Abdullahi Abdul-Qadir
Keyword(s):  
Social Media ◽  
Secondary Sources ◽  
The Social ◽  
Security Challenges ◽  
Social Media Platforms ◽  
Information And Communication ◽  
School Girls ◽  
The Government ◽  
Use Of Social Media ◽  
Domestic Assistance

This paper examines the abduction of the schoolgirls in Chibok Local Government Area of Borno State, Nigeria in 2014. The paper examined how the abduction of the schoolgirls generated responses and support for the rescue of the abducted girls from people and organization from different parts of the globe. The Islamists terrorist organization operating in Borno State has attracted the attention of the world since 2009 when they started attacking government establishments and security installations northeast which later escalated to major cities in Northern Nigeria. Methodologically, the paper utilized secondary sources of data to analyze the phenomenon studied. The paper revealed that the development and innovations in information and communication technology which dismantled traditional and colonial boundaries enabled people to express support, solidarity and assist victims of conflict who resides millions of Kilometers away. This shows that Internet-based communications technology has reduced the distance of time and space that characterised traditional mass media. The campaign for the release of the schoolgirls on the social media platforms particularly Twitter and Facebook has tremendously contributed to the release of some of them. Furthermore, the girls freed from abduction have received proper attention: education and reintegration programmes which enable them to start post-abduction life. In this regard, social media has become a tool for supporting the government in moments of security challenges which the Bring Back Our Girls campaign attracted foreign and domestic assistance to Nigeria in the search of the abducted girls and the fight against the Islamist insurgents.

scholarly journals The use of Twitter and Facebook Social Media in Communicating & Disseminating Weather and Climate Information by Kenya Meteorological Department

2020 ◽  
pp. 11-21
Author(s):  
Misiani Zachary ◽  
Lun Yin ◽  
Mwai Zacharia ◽  
Xiaohan Zhang ◽  
Yanyan Zheng ◽  
...  
Keyword(s):  
Social Media ◽  
Research Methodology ◽  
Information Dissemination ◽  
The Other ◽  
Significant Part ◽  
Climate Information ◽  
Traditional Media ◽  
Weather And Climate ◽  
Social Media Platforms

Today, traditional media is still a significant part of disseminating weather and climate information, still they have not been able to reach out to all users of the target audience alone. On the other hand, social media platforms such as Twitter, Facebook, YouTube, Instagram, etc. are used as a tool of communicating weather and climate information to various users in a well-organized manner like never before. Using a scientific research methodology of case study, the research was designed to explore how the Kenya Meteorological Department (KMD) is using Twitter and Facebook accounts for weather and climate information dissemination to various users.

scholarly journals Why it is important to consider negative ties when studying polarized debates: A signed network analysis of a Dutch cultural controversy on Twitter

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256696
Author(s):  
Anna Keuchenius ◽  
Petter Törnberg ◽  
Justus Uitermark
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Network Analysis ◽  
Language Processing ◽  
User Interaction ◽  
User Interactions ◽  
Online Interactions ◽  
Network Analyses ◽  
Social Media Platforms ◽  
Signed Network

Despite the prevalence of disagreement between users on social media platforms, studies of online debates typically only look at positive online interactions, represented as networks with positive ties. In this paper, we hypothesize that the systematic neglect of conflict that these network analyses induce leads to misleading results on polarized debates. We introduce an approach to bring in negative user-to-user interaction, by analyzing online debates using signed networks with positive and negative ties. We apply this approach to the Dutch Twitter debate on ‘Black Pete’—an annual Dutch celebration with racist characteristics. Using a dataset of 430,000 tweets, we apply natural language processing and machine learning to identify: (i) users’ stance in the debate; and (ii) whether the interaction between users is positive (supportive) or negative (antagonistic). Comparing the resulting signed network with its unsigned counterpart, the retweet network, we find that traditional unsigned approaches distort debates by conflating conflict with indifference, and that the inclusion of negative ties changes and enriches our understanding of coalitions and division within the debate. Our analysis reveals that some groups are attacking each other, while others rather seem to be located in fragmented Twitter spaces. Our approach identifies new network positions of individuals that correspond to roles in the debate, such as leaders and scapegoats. These findings show that representing the polarity of user interactions as signs of ties in networks substantively changes the conclusions drawn from polarized social media activity, which has important implications for various fields studying online debates using network analysis.

scholarly journals COVID-19 Social Media Information and Misinformation: a Geospatial Analysis of Inter-regional Tweet Disparities in Ghana

2021 ◽  
Author(s):  
Richmond Takyi Hinneh ◽  
Alex Barimah Owusu
Keyword(s):  
Social Media ◽  
Information Dissemination ◽  
Accurate Information ◽  
False Information ◽  
Global Pandemic ◽  
Study Results ◽  
Other Information ◽  
Spatial Differences ◽  
Social Media Platforms ◽  
Precautionary Measures

Abstract BackgroundIn an era of the global pandemic and social media dominance, trying to control the narrative on COVID-19 has been a challenging task for most governments particularly with news about the disease on various social media platforms. There have even been instances where people have sent false information about the number of confirmed cases, precautionary measures, drugs that boost the immune system which can threaten the lives of some users who are accessing this false information and misconceptions.Method This study analyzed spatial differences in Twitter misinformation on COVID-19 across 16 regions of Ghana by scraping 1,167 tweets from Twitter using API access. A total of 514 tweets were analyzed. The data were categorized into three namely; accurate information, misinformation, and other information. ResultsThe study results show that 72% of the tweets were accurate, 14% were misinformation and 14% represented other information. Among the regions, Greater Accra had the highest number of accurate information (45 tweets), and the Upper West Region recording the highest number of misinformation (12 tweets).ConclusionSpatial monitoring and management of information dissemination are useful for target setting and achievement of direct results in terms of diffusing misinformation and propagating accurate information. We, therefore, recommend official usage of Twitter for COVID-19 information dissemination as this usage will help offset possible misinformation from unformed individuals.

scholarly journals Instagram Influencer Analysis for Top 5 Categories in Turkey

2021 ◽  
Vol 12 (44) ◽  
pp. 22-36
Author(s):  
Busra ERTOGRUL ◽  
Gizem KILICSIZ ◽  
Aysun BOZANTA
Keyword(s):  
Social Media ◽  
Digital Identity ◽  
Ordinary People ◽  
Daily Lives ◽  
Social Media Platforms ◽  
The Difference ◽  
Marketing Tool ◽  
Use Of Social Media ◽  
The Relationship ◽  
New Jobs

Social media platforms have become an inevitable part of our daily lives. Companies that noticed the intense use of social media platforms started to use them as a marketing tool. Even ordinary people have become famous by social media and companies have been sending their products to them to try and advertise. Many people have gained a considerable amount of money in this way and today new jobs are emerged like "Youtuber" and "Instagram Influencer". Therefore, ordinary people realized the power of social media and many people started to strength their digital identity over social media. The question raising in people’s mind is that “What is the difference between the influencers and the ordinary people who have also digital identity over social media?”. This study examined Instagram influencers for five categories namely fashion, makeup, photography, travel, and fitness in Turkey. As an exploratory study, the relationship between the influencers’ average number of posts, the number of likes, the number of views, the number of comments, number of followers, and the number of following were examined. As well as the engagement rates of the followers to the influencers were calculated. In addition, the words they mostly used in the captions of the posts were examined.

scholarly journals Effectiveness Of The Use Of Instagram Social Media On Personal Branding Joko Widodo In The First Voters 2019 Election

2019 ◽  
Vol 9 (2) ◽  
pp. 63
Author(s):  
Ahnaf Rifky Saputra
Keyword(s):  
Social Media ◽  
Sampling Technique ◽  
The Public ◽  
Digital Era ◽  
Social Media Platforms ◽  
Independent Variable ◽  
Personal Branding ◽  
The Republic ◽  
Use Of Social Media ◽  
Positive Effect

In this digital era, all activities can be published to the public through social media. Many groups of people actively use social media ranging from students, adults, entrepreneurs and state officials. One of them is the seventh President of the Republic of Indonesia, Ir. H. Joko Widodo. Joko Widodo has a variety of social media platforms, social media with the most followers among other social media is Instagram. With a total of 16.5 million followers making him the leader of the country with the second most followers in the world. The content of uploads on Instagram of Joko Widodo is diverse and very massive, the things Joko Widodo does on Instagram social media is one way to form personal branding. Personal branding is a unique phenomenon because basically all people have their own characteristics, to get the results of long-lasting branding and provide maximum benefits, the branding process must come from authentic, real and original evidence. This study aims to determine how effective the use of social media instagram is for the formation of Joko Widodo's personal Branding to the 2019 First Election Voters who are still confused and need references to make choices in using their voting rights. This study uses a descriptive quantitative method of two variables. The independent variable in this study is the effectiveness of using social media instagram while the dependent variable is Joko Widodo's personal branding. This research was conducted by distributing questionnaires to 100 respondents using the Nonprobality Sampling technique. The results of this study state that the use of Instagram social media in delivering the desired message falls into the effective category with a percentage of 74.9% while the formation of personal branding for the first voters is included in the effective category with a percentage of 81.1%. The conclusion of this study is that the communication carried out by Joko Widodo's Instagram social media account took place effectively and had a positive effect on the formation of Joko Widodo's personal branding for the first voters of the 2019 Election. Keywords: Social Media, Instagram, Personal Branding, First Voters

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