scholarly journals Dynamics of Sexual Harassment on Social Media

2019 ◽  
Author(s):  
Faqihul Muqoddam ◽  
Virgin Suciyanti Maghfiroh
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Sexual Harassment ◽  
Qualitative Method ◽  
Social Media Data ◽  
Data Collection Methods ◽  
Narrative Tradition ◽  
Almost All ◽  
Media Data ◽  
Collection Methods

Sexual harassment is a currently netizen’s habit on social media. Almost all of their comments on social media contain words to abuse. This study was conducted with the aim of analyzing the forms of sexual harassment and identifying the factors of sexual harassment on social media. This study uses a qualitative method of narrative tradition with a focus on investigating sexual harassment that occurs on social media. Data collection methods are carried out by observing comments of netizens. The characteristics of the comments that chosen in this study are those written on Instagram and point to the element of sexual harassment. The results show that sexual harassment on social media is happen with; 1. directly (explicitly), 2. indirectly (implicitly) according to the meaning of the sentence. Then, the factors of sexual harassment on social media are; 1. netizens are looking for attention (as evidenced by accounts that are used only fake accounts), 2. photo content or account owner captions that lead netizens to harass. Suggestions based on this study are the need to develop psychoeducation for adolescents and families both as subjects and victims so as to avoid sexual harassment behavior.

scholarly journals Informed consent for linking survey and social media data - Differences between platforms and data types

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Johannes Breuer ◽  
Tarek Al Baghal ◽  
Luke Sloan ◽  
Libby Bishop ◽  
Dimitra Kondyli ◽  
...  
Keyword(s):  
Social Media ◽  
Informed Consent ◽  
Data Collection ◽  
Case Studies ◽  
Survey Data ◽  
Data Types ◽  
Social Media Data ◽  
Key Aspects ◽  
Media Data ◽  
Collection Methods

Linking social media data with survey data is a way to combine the unique strengths and address some of the respective limitations of these two data types. As such linked data can be quite disclosive and potentially sensitive, it is important that researchers obtain informed consent from the individuals whose data are being linked. When formulating appropriate informed consent, there are several things that researchers need to take into account. Besides legal and ethical questions, key aspects to consider are the differences between platforms and data types. Depending on what type of social media data is collected, how the data are collected, and from which platform(s), different points need to be addressed in the informed consent. In this paper, we present three case studies in which survey data were linked with data from 1) Twitter, 2) Facebook, and 3) LinkedIn and discuss how the specific features of the platforms and data collection methods were covered in the informed consent. We compare the key attributes of these platforms that are relevant for the formulation of informed consent and also discuss scenarios of social media data collection and linking in which obtaining informed consent is not necessary. By presenting the specific case studies as well as general considerations, this paper is meant to provide guidance on informed consent for linked survey and social media data for both researchers and archivists working with this type of data.

Social Media-Based Data Collection and Analysis in Educational Research

2020 ◽  
pp. 54-77
Author(s):  
Liuli Huang
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Educational Research ◽  
Media In Education ◽  
Social Media Data ◽  
Educational Processes ◽  
Data Collection And Analysis ◽  
Media Data ◽  
Social Media In Education

The past decades have brought many changes to education, including the role of social media in education. Social media data offer educational researchers first-hand insights into educational processes. This is different from most traditional and often obtrusive data collection methods (e.g., interviews and surveys). Many researchers have explored the role of social media in education, such as the value of social media in the classroom, the relationship between academic achievement and social media. However, the role of social media in educational research, including data collection and analysis from social media, has been examined to a far lesser degree. This study seeks to discuss the potential of social media for educational research. The purpose of this chapter is to illustrate the process of collecting and analyzing social media data through a pilot study of current math educational conditions.

scholarly journals Meningkatkan Kemampuan Berbahasa Melalui Media Sosial Instagram

2018 ◽  
Author(s):  
Inayatu Solikhah
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Data Collection ◽  
Qualitative Method ◽  
Ministry Of Education ◽  
The Media ◽  
The Government ◽  
Ease Of Access ◽  
Almost All ◽  
The Impact

In this day and age many people use Indonesian language which is not in accordance with the rules of language and with the advancement of information technology which rapidly raises many social media, one of which is Instagram which is loved by almost all Indonesian people. The purpose of this study is to find out and explain how much influence instagram has in fostering the development of Indonesian. The method used is descriptive qualitative method with data collection techniques. The results of the study explained that Instagram social media was also used by the Ministry of Education and Culture to develop Indonesian language through accounts @badanbahasakemndikbud which upload many Indonesian rules and grammar, including spelling of words, equivalent words, raw words, punctuation, word terms, proverbs, and so on. Not only official accounts from the government, some communities also contribute to developing the Indonesian language through Instagram, one of which is @sastraindonesia with upload contents that together discuss Indonesian rules and grammar. The impact of the instagram as one of the media used in the development of Indonesian language is that more and more people know about Indonesian rules and grammar because of the ease of access by Instagram communities.

Sentiment Analysis of Tweets for Estimating Criticality and Security of Events

2020 ◽  
pp. 293-319 ◽  
Author(s):  
V. Subramaniyaswamy ◽  
R. Logesh ◽  
M. Abejith ◽  
Sunil Umasankar ◽  
A. Umamakeswari
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Sentiment Analysis ◽  
Quantitative Result ◽  
Law Enforcement Agencies ◽  
Social Media Data ◽  
Software Application ◽  
The World ◽  
Media Data ◽  
Different Levels

Social Media has become one of the major industries in the world. It has been noted that almost three fourth of the world's population use social media. This has instigated many researches towards social media. One such useful application is the sentimental analysis of real time social media data for security purposes. The insights that are generated can be used by law enforcement agencies and for intelligence purposes. There are many types of analyses that have been done for security purposes. Here, the authors propose a comprehensive software application which will meticulously scrape data from Twitter and analyse them using the lexicon based analysis to look for possible threats. They propose a methodology to obtain a quantitative result called criticality to assess the level of threat for a public event. The results can be used to understand people's opinions and comments with regard to specific events. The proposed system combines this lexicon based sentimental analysis along with deep data collection and segregates the emotions into different levels to analyse the threat for an event.

Social Media Data Collection and Quality for Urban Studies

2021 ◽  
pp. 229-248
Author(s):  
Álvaro Bernabeu-Bautista ◽  
Leticia Serrano-Estrada ◽  
Pablo Martí
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Urban Studies ◽  
Social Media Data ◽  
Media Data

scholarly journals Strategi Pemerintah Gampong dalam Meningkatkan Kesadaran Masyarakat tentang Bahaya Covid-19 di Gampong Aneuk Glee, Indrapuri, Aceh Besar, Indonesia

2021 ◽  
Vol 1 (2) ◽  
pp. 201-209
Author(s):  
Risfaton Munawarah ◽  
Fakhruddin
Keyword(s):  
Data Collection ◽  
Qualitative Method ◽  
Public Awareness ◽  
The Public ◽  
Data Collection Methods ◽  
The Government ◽  
Collection Methods

The purpose of this research is to provide education to increase public awareness of the dangers of covid-19. In addition, this study found the importance of raising public awareness to adhere to health protocols to avoid the dangers of Covid-19.  The research target is the government of Gampong Aneuk Glee, Indrapuri Sub District. This study uses a qualitative method that aims to determine the Gampong government’s strategy in increasing public awareness about the dangers of Covid-19. The data was obtained through three data collection methods, including interviews, observation, and analysis. The results showed that the Gampong Aneuk Glee government had carried out many strategies in increasing public awareness, such as placing banners and appealing to the public about the dangers of Covid-19. It is intended to increase public awareness regarding the dangers of Covid-19 optimally.

Extended Implementation Method for Virtual Sensors: Web-Based Real-Time Transportation Data Collection and Analysis for Incident Management

2015 ◽  
Vol 2528 (1) ◽  
pp. 27-37 ◽  
Author(s):  
Abdullah Kurkcu ◽  
Ender Faruk Morgul ◽  
Kaan Ozbay
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Travel Time ◽  
Real Time ◽  
Open Data ◽  
Data Sources ◽  
Incident Management ◽  
Virtual Sensors ◽  
Social Media Data ◽  
Media Data

Open data sources and social media data are gaining increasing attention as important information providers in transportation and incident management. In this paper, practical evidence for the emerging potential of online and open data sources is presented. The authors’ previous research on virtual sensors is combined and extended by integrating real-time incident information and social media network engagement. The fundamental contribution of this paper is the development of an extended virtual sensor framework to provide an automated travel time data collection method as incidents occur. In addition, social media data can be useful for more effective real-time incident response. The proposed framework can easily be modified and used to evaluate travel time effects of incidents on roadways and clearance times and to make use of social media data in obtaining time-critical incident-related information.

Sign in / Sign up

Export Citation Format

Share Document