scholarly journals Sentiments and Perceptions of Business Respondents on Social Media: an Exploratory Analysis

2015 ◽  
Vol 31 (2) ◽  
pp. 283-304 ◽  
Author(s):  
Vanessa Torres van Grinsven ◽  
Ger Snijkers
Keyword(s):  
Social Media ◽  
Social Structure ◽  
Media Studies ◽  
Exploratory Analysis ◽  
Statistical Institute ◽  
The People ◽  
The Social ◽  
Survey Participation ◽  
Business Survey ◽  
Negative Sentiment

Abstract The perceptions and sentiments of business respondents are considered important for statistical bureaus. As perceptions and sentiments are related to the behavior of the people expressing them, gaining insights into the perceptions and sentiments of business respondents is of interest to understand business survey response. In this article we present an exploratory analysis of expressions in the social media regarding Statistics Netherlands. In recent years, social media have become an important infrastructure for communication flows and thus an essential network in our social structure. Within that network participants are actively involved in expressing sentiments and perceptions. The results of our analysis provide insights into the perceptions and sentiments that business respondents have of this national statistical institute and specifically its business surveys. They point towards the specific causes that have led to a positive or a negative sentiment. Based on these results, recommendations aimed at influencing the perceptions and sentiments will be discussed, with the ultimate goal of stimulating survey participation. We also suggest recommendations regarding social media studies on sentiments and perceptions of survey respondents.

The Effects of Different Kernels in SVM Sentiment Analysis on Mass Social Distancing

2020 ◽  
Vol 9 (2) ◽  
pp. 161
Author(s):  
Komang Dhiyo Yonatha Wijaya ◽  
Anak Agung Istri Ngurah Eka Karyawati
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Kernel Method ◽  
Idle Time ◽  
Linear Kernel ◽  
Social Distancing ◽  
The Social ◽  
Negative Sentiment ◽  
F Measure ◽  
Kernel Yield

During this pandemic, social media has become a major need as a means of communication. One of the social medias used is Twitter by using messages referred to as tweets. Indonesia currently undergoing mass social distancing. During this time most people use social media in order to spend their idle time However, sometimes, this result in negative sentiment that used to insult and aimed at an individual or group. To filter that kind of tweets, a sentiment analysis was performed with SVM and 3 different kernel method. Tweets are labelled into 3 classes of positive, neutral, and negative. The experiments are conducted to determine which kernel is better. From the sentiment analysis that has been performed, SVM linear kernel yield the best score Some experiments show that the precision of linear kernel is 57%, recall is 50%, and f-measure is 44%

scholarly journals Engaging for Puerto Rico: #RickyRenuncia (and #RickySeQueda) during El Verano del 19 and digital identities

2019 ◽  
Author(s):  
Danilo T Perez-Rivera ◽  
Christopher Torres Lugo ◽  
Alexis R Santos-Lozada
Keyword(s):  
Social Media ◽  
Puerto Rico ◽  
Social Activism ◽  
The United States ◽  
The Political ◽  
Digital Revolution ◽  
The People ◽  
The Social ◽  
The World ◽  
Puerto Rican Diaspora

Between July 13-24, 2019 the people of Puerto Rico took the streets after a series of corruption scandals shocked the political establishment. The social uprising resulted in the ousting of the Governor of Puerto Rico (Dr. Ricardo Rosselló, Ricky), the resignation of the majority of his staff something unprecedented in the history of Puerto Rico; this period has been called El Verano del 19 (Summer of 19). Social media played a crucial role in both the organization and dissemination of the protests, marches, and other activities that occurred within this period. Puerto Ricans in the island and around the world engaged in this social movement through the digital revolution mainly under the hashtag #RickyRenuncia (Ricky Resign), with a small counter movement under the hashtag #RickySeQueda (Ricky will stay). The purpose of this study is to illustrate the magnitude and grass roots nature of the political movement’s social media presence, as well as their characteristics of the population of both movements and their structures. We found that #RickyRenuncia was used approximately one million times in the period of analysis while #RickySeQueda barely reached 6,000 tweets. Particularly, the pervasiveness of cliques in the #RickySeQueda show concentrations of authority dedicated to its propagation, whilst the #RickyRenuncia propagation was much more distributed and decentralized with little to no interaction between significant nodes of authority. Noteworthy was the role of the Puerto Rican diaspora in the United States of America and around the world, contributing close to 40% of all geo-located tweets. Finally, we found that the Twitter followers of the former governor had indicators of being composed of two distinct populations: 1) those active in social media and 2) those who follow the account but who are not active participants of the social network. We discuss the implications of these findings on the interpretation of emergence, structure and dissemination of social activism and countermovement to these activities in the context of Puerto Rico.

scholarly journals Combatting Misinformation During the COVID-19 Pandemic Via Social Media

2021 ◽  
Vol 9 (1) ◽  
pp. 56-58
Author(s):  
Shehrbano Ali ◽  
Muhammad Murad Murtaza
Keyword(s):  
Social Media ◽  
Medical Knowledge ◽  
Signs And Symptoms ◽  
Sufficient Information ◽  
Corona Virus ◽  
The People ◽  
The Social ◽  
Virus Research ◽  
False News ◽  
Poster Presentations

Misinformation or "fake news" has existed in society for quite a while, with healthcare related misinformation being especially problematic, particularly during the COVID-19 pandemic. Due to the false news circulating on the social media, many misconceptions exist about the disease and the pandemic, leading to people reacting in extreme and unrecommended ways that cause more harm than benefit. In order to combat this, the CMH Arts and Design Society took an initiative and formed a facebook page named "Pakistan Corona Virus Research Outlook" that aimed to present well researched facts regarding COVID-19 in the form of video or poster presentations, so that they could be understood easily by the general public. We also drafted an online handbook that addressed the basic concerns regarding the signs and symptoms of the disease, and the basic principles of management, so as to equip the people without medical knowledge with sufficient information for them to be able to manage mild symptoms themselves, without burdening the healthcare system. We also formed a facebook group by the name "Corona Virus (COVID-19) Free Counselling" that aimed to provide a platform to the public to ask their queries regarding COVID-19 which were then addressed by medical professionals. A post-COVID syndrome series was also initiated on these platforms that addressed the post-COVID symptoms individually and provided a follow up plan for each, based on expert guidelines.

Study and Analysis of Delay Factors of Delhi Metro Using Data Sciences and Social Media

2018 ◽  
pp. 209-223
Author(s):  
Arun Solanki ◽  
Ela Kumar
Keyword(s):  
Social Media ◽  
Monday Morning ◽  
Technical Problems ◽  
The People ◽  
Difficult Time ◽  
Implementation Techniques ◽  
The Social ◽  
Using Data ◽  
Delay Prediction ◽  
Different Sources

Delhi Metro passengers had a difficult time mostly on Monday morning as trains on the busy corridors are delayed due to technical problems or track circuit failure. This study found different factors like power failure, weather, rider load, festive season, etc. which are responsible for the delay of Delhi Metro. Due to these factors, Metro got delayed and run at a reduced speed causing much inconvenience to the people, who are hoping to reach their offices on time. Delhi Metro data are received from different sources which may be structured (timings, speed, traffic), semi-structured (images and video) and unstructured (maintenance records) form. So, there is heterogeneity in data. Except for this data, the feedback or suggestion of a rider is vital to the system. Nowadays riders are using social media like Facebook and Twitter very frequently. Three-tier architecture is proposed for the delay analysis of Delhi Metro. Different implementation techniques are studied and proposed for the social media module and delay prediction modules for the proposed system.

الشعب‎ يريد‎ اسقاط‎ النظام‎ “The People Want to Overthrow the Regime”

2019 ◽  
pp. 46-73
Author(s):  
Amy Austin Holmes
Keyword(s):  
Social Media ◽  
State Violence ◽  
The State ◽  
Breaking Point ◽  
Mass Mobilization ◽  
The People ◽  
The Social ◽  
Key Features ◽  
Security Organizations

This chapter analyzes the first wave of the revolution against Hosni Mubarak. Refuting arguments that focus on the role of the social media, or divisions among the elite, and the alleged neutrality of the Egyptian military, the chapter illustrates that it was a revolutionary coalition of the middle and lower classes that created a breaking point for the regime. Key features of this mass mobilization included the refusal of protesters to be cowed by state violence, the creation of “liberated zones” occupied by the people, “popular security” organizations that replaced the repressive security apparatus of the state, and strikes that crippled the economy in the final days of the Mubarak era. Key moments during the 18 days are described with ethnographic detail, including the unfiltered reactions of protesters to the deployment of soldiers on January 28. The revolutionary nature of the uprising is that people demanded more than just the ouster of Mubarak—they wanted to topple “the regime” by naming the names of a slew of Mubarak’s cronies to remove them from power.

scholarly journals Sentiment Analysis of Impact of Technology on Employment from Text on Twitter

2020 ◽  
Vol 14 (07) ◽  
pp. 88
Author(s):  
Shahzad Qaiser ◽  
Nooraini Yusoff ◽  
Farzana Kabir Ahmad ◽  
Ramsha Ali
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Issues ◽  
Support Vector ◽  
Ripple Effect ◽  
Learning Classifier ◽  
The People ◽  
Impact Of Technology ◽  
Negative Sentiment ◽  
The Impact

Many different studies are in progress to analyze the content created by the users on social media due to its influence and social ripple effect. Various content created on social media has pieces of information and user’s sentiments about social issues. This study aims to analyze people’s sentiments about the impact of technology on employment and advancements in technologies and build a machine learning classifier to classify the sentiments. People are getting nervous, depressed and even doing suicides due to unemployment; hence, it is essential to explore this relatively new area of research. The study has two main objectives 1) to preprocess text collected from Twitter concerning the impact of technology on employment and analyze its sentiment, 2) to evaluate the performance of machine learning Naïve Bayes (NB) classifier on the text. To achieve this, a methodology is proposed that includes 1) data collection and preprocessing 2) analyze sentiment, 3) building machine learning classifier and 4) compare the performance of NB and support vector machine (SVM). NB and SVM achieved 87.18% and 82.05% accuracy respectively. The study found that 65% of the people hold negative sentiment regarding the impact of technology on employment and technological advancements; hence people must acquire new skills to minimize the effect of structural unemployment.

scholarly journals Visual Sentiment Analysis on Social Media Data

2021 ◽  
pp. 366-372
Author(s):  
Harshala Bhoir ◽  
K. Jayamalini
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
State Of The Art ◽  
Social Media Data ◽  
Media Image ◽  
The Social ◽  
Textual Data ◽  
Art Works ◽  
Negative Sentiment ◽  
Media Data

Visual sentiment analysis is the way to automatically recognize positive and negative emotions from images, videos, graphics, stickers etc. To estimate the polarity of the sentiment evoked by images in terms of positive or negative sentiment, most of the state-of-the-art works exploit the text associated to a social post provided by the user. However, such textual data is typically noisy due to the subjectivity of the user which usually includes text useful to maximize the diffusion of the social post. Proposed system will extract and employ an Objective Text description of images automatically extracted from the visual content rather than the classic Subjective Text provided by the user. The proposed System will extract three views visual view, subjective text view and objective text view of social media image and will give sentiment polarity positive, negative or neutral based on hypothesis table.

scholarly journals UNGKAPAN MARAH DAN UNGKAPAN PUJIAN MASYARAKAT NIAS DI KAKI GUNUNG PADANG

2020 ◽  
Vol 8 (1) ◽  
pp. 10
Author(s):  
Faula Ismi ◽  
Ermanto Ermanto
Keyword(s):  
Data Collection ◽  
Social Structure ◽  
Social Function ◽  
Structure And Function ◽  
The People ◽  
The Social ◽  
Data Source ◽  
And Function ◽  
The Village ◽  
Descriptive Method

This study  aimed to determine the structure and social function of folklore legend naming Batunabontar Batang Natal district Mandailing Natal district. The method used in this research was descriptive method. The data source of this research was the people who inhabit Batunabontar village, Batang Natal District, Mandailing Natal District. The instrument used in this study was the researcher himself and the informant based on the understanding of the structure and social function of the naming legend of a place. Data collection techniques used in this study were observation by observation and to strengthen the data obtained, direct interviews were carried out to the authorities in research on the Social Structure and Function of the Legend of the Naming of Batunabontar Village, Batang Natal District, Mandailing Natal District. The results of this study indicate that the Social Structure and Function of Naming Legend of Batunabontar Village, Batang Natal District, Mandailing Natal District has a unique history and structure and function in the village. The uniqueness of this Batunabontar makes the writer want to know the importance of the structure and function of the Batunabontar in Batang Natal District, Mandailing Natal Regency.  

scholarly journals The Strategy of Drama Series "Lonceng Cinta" in Increasing Public Interest Through Social Media Twitter

2020 ◽  
Vol 5 (SI1) ◽  
pp. 47-51
Author(s):  
Hadiono Afdjani ◽  
Daniel Simanjuntak
Keyword(s):  
Social Media ◽  
New Media ◽  
Communication Theory ◽  
Publishing House ◽  
Promotion Strategy ◽  
The Public ◽  
The People ◽  
The Social ◽  
International Publishing ◽  
Use Of Social Media

This study aims to find out how the promotion strategy of television drama series "India Lonceng Cinta" through Twitter conducted by social media team ANTV. The focus of the problem is on the use of social media twitter @seriesANTV and @whatsonANTV in promoting the Indian drama series "Lonceng Cinta" to the public. The development of twitter today, not only as a social media, but ANTV use it as a media promotion of impressions to the people of Indonesia. Theories used are New Media theory and Marketing Communication theory. The paradigm of the research is the postpositivism paradigm, the qualitative approach and the method used is the interistic approach, that is expressing how the social media team strategy in promoting drama series "Lonceng Cinta" using twitter.    Keywords: Promotion, Social Media, Twitter, Television Program, Marketing Communications.     eISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/ebpj.v5iSI1.2296

scholarly journals THE RESPONSIBILITIES OF THE SOCIAL MEDIA FROM INDIA AND CHINA ON THE GLOBAL PANDEMIC

2021 ◽  
pp. 51-53
Author(s):  
Niranjana Niranjana ◽  
Ren Feng
Keyword(s):  
Social Media ◽  
Media Coverage ◽  
Collaborative Development ◽  
Global Pandemic ◽  
The People ◽  
The Social ◽  
Common Enemy ◽  
The Common ◽  
India And China

The worldwide pandemics are the common enemy of all mankind.When faced with the global pandemics, it becomes necessary for all nations to strengthen cooperation.Although India and China are close neighbors in Asia,their media coverage of each other in 2020 was extremely asymmetrical.Nonetheless,this media coverage should be strengthening communication and cooperation.Only in this way can it benefit the people of the two nations and ultimately realize a coprosperity and collaborative development.

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