DRENAJ: Distributed social media data collection system

2015 ◽  
Author(s):  
Onur Gungor ◽  
Suzan Uskudarli ◽  
A. Taylan Cemgil
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Collection System ◽  
Social Media Data ◽  
Data Collection System ◽  
Media 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.

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

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.

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 Habitual Disclosure: Routine, Affordance, and the Ethics of Young Peoples Social Media Data Surveillance

2020 ◽  
Vol 6 (2) ◽  
pp. 205630512091561
Author(s):  
Clare Southerton ◽  
Emmeline Taylor
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Data Privacy ◽  
Qualitative Interviews ◽  
Photo Elicitation ◽  
Active Engagement ◽  
Social Media Data ◽  
Social Media Platforms ◽  
Data Surveillance ◽  
Media Data

Drawing on findings from qualitative interviews and photo elicitation, this article explores young people’s experiences of breaches of trust with social media platforms and how comfort is re-established despite continual violations. It provides rich qualitative accounts of users habitual relations with social media platforms. In particular, we seek to trace the process by which online affordances create conditions in which “sharing” is regarded as not only routine and benign but pleasurable. Rather it is the withholding of data that is abnormalized. This process has significant implications for the ethics of data collection by problematizing a focus on “consent” to data collection by social media platforms. Active engagement with social media, we argue, is premised on a tentative, temporary, shaky trust that is repeatedly ruptured and repaired. We seek to understand the process by which violations of privacy and trust in social media platforms are remediated by their users and rendered ordinary again through everyday habits. We argue that the processes by which users become comfortable with social media platforms, through these routines, call for an urgent reimagining of data privacy beyond the limited terms of consent.

scholarly journals VARIASI DAN FUNGSI RAGAM BAHASA IKLAN LAYANAN MASYARAKAT DI MEDIA SOSIAL PADA MASA PANDEMI COVID-19 SUATU TINJAUAN SOSIOLINGUISTIK

Multilingual ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 249-261
Author(s):  
Anisa Dimas Tutik
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Public Service ◽  
Social Media Data ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Language Functions ◽  
Collection Data ◽  
Data Source ◽  
Media Data

ABSTRACTThis research is motivated by the problems contained in public service advertisements on social media during the covid-19 pandemic. The objectives of the research are (1) to describe the form of language variations of public service advertisements on social media during the Covid-19 pandemic. (2) To describe the function of the various languages of public service advertisements on social media during the Covid-19 pandemic. The method used is descriptive qualitative by explaining objects based on facts contained in public service advertisements on social media during the covid-19 pandemic. The data source of this research is public service advertisements on social media. Data collection techniques used were recording techniques and data transcripts in the form of words, phrases, and sentences in public service advertisements. The data analysis techniques used in this study include data collection, data reduction, data presentation, and conclusions. The results of this study indicate that there are as many as 3 types of language variations in terms of speakers, usage and formality. There are 5 types of language functions, namely emotive, referential, directive, poetic, and fatigued

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