scholarly journals Forensic Analysis of Social Media Data : Research Challenges and Directions

2020 ◽  
Author(s):  
Muhammad Firdaus
Keyword(s):  
Social Media ◽  
Law Enforcement ◽  
Forensic Analysis ◽  
Digital Information ◽  
Privacy Rights ◽  
Law Enforcement Agencies ◽  
Social Media Data ◽  
Valid Evidence ◽  
Media Data ◽  
Analyze Data

The challenge to analyze data from social media sources not only for businesses and organizations but also for Law Enforcement Agencies. Social media offers various avenues for the collection and use of its data as evidence within a digital forensics investigation. The trail of digital information on social media, if explored correctly, can offer remarkable support in the criminal investigation. Social media evidence must be collected using careful, correct procedures and in a manner that ensures its integrity. Hence, social media evidence must be collected by a legally and scientifically appropriate forensic process and also coincide with the privacy rights of individuals. Following the legal process is a challenging task for legal practitioners and investigators to be able to carry out effective investigations and gather valid evidence efficiently. This paper explains the existing conditions of evidence acquisition, admissibility, and jurisdiction mechanisms in forensic social media. It also illustrates the direct challenges in gathering, analyzing, presenting, and validating evidence from social media data in the law enforcement process.

Sentiment Analysis of Tweets for Estimating Criticality and Security of Events

2017 ◽  
Vol 29 (4) ◽  
pp. 51-71 ◽  
Author(s):  
V. Subramaniyaswamy ◽  
R. Logesh ◽  
M. Abejith ◽  
Sunil Umasankar ◽  
A. Umamakeswari
Keyword(s):  
Social Media ◽  
Law Enforcement ◽  
Quantitative Result ◽  
Public Event ◽  
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.

scholarly journals Business intelligence for social media interaction in the travel industry in Indonesia

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Michael Yulianto ◽  
Abba Suganda Girsang ◽  
Reinert Yosua Rumagit
Keyword(s):  
Social Media ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Marketing Activity ◽  
Social Media Data ◽  
Current Technology ◽  
Media Interaction ◽  
Travel Industry ◽  
Media Data ◽  
Analyze Data

Electronic ticket (eticket) provider services are growing fast in Indonesia, makingthe competition between companies increasingly intense. Moreover, most of them have the sameservice or feature for serving their customers. To get back the feedback of their customers, manycompanies use social media (Facebook and Twitter) for marketing activity or communicatingdirectly with their customers. The development of current technology allows the company totake data from social media. Thus, many companies take social media data for analyses. Thisstudy proposed developing a data warehouse to analyze data in social media such as likes,comments, and sentiment. Since the sentiment is not provided directly from social media data,this study uses lexicon based classification to categorize the sentiment of users’ comments. Thisdata warehouse provides business intelligence to see the performance of the company based ontheir social media data. The data warehouse is built using three travel companies in Indonesia.As a result, this data warehouse provides the comparison of the performance based on the socialmedia data.

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.

An Extensible Platform for the Forensic Analysis of Social Media Data

2015 ◽  
pp. 404-414
Author(s):  
Huw Read ◽  
Konstantinos Xynos ◽  
Iain Sutherland ◽  
Frode Roarson ◽  
Panagiotis Andriotis ◽  
...  
Keyword(s):  
Social Media ◽  
Forensic Analysis ◽  
Social Media Data ◽  
Media Data

scholarly journals Systematic Review on the Suspicious Profiles Detection on Online Social Media Data

2017 ◽  
Vol 10 (3) ◽  
pp. 644-652
Author(s):  
Asha Asha ◽  
Dr. Balkishan
Keyword(s):  
Systematic Review ◽  
Data Mining ◽  
Social Media ◽  
Law Enforcement ◽  
Social Media Data ◽  
Data Mining Techniques ◽  
Online Social Media ◽  
Using Data ◽  
Media Data ◽  
Mining Tools

Escalating crimes on digital facet alarms the law enforcement bodies to keep a gaze on online activities which involve massive amount of data. This will raise a need to detect suspicious activities on online available social media data by optimizing investigations using data mining tools. This paper intends to throw some light on the data mining techniques which are designed and developed for closely examining social media data for suspicious activities and profiles in different domains. Additionally, this study will categorize the techniques under various groups highlighting their important features, challenges and application realm.

scholarly journals Forensic Analysis of Heterogeneous Social Media Data

2019 ◽  
Author(s):  
Aikaterini Nikolaidou ◽  
Michalis Lazaridis ◽  
Theodoros Semertzidis ◽  
Apostolos Axenopoulos ◽  
Petros Daras
Keyword(s):  
Social Media ◽  
Forensic Analysis ◽  
Social Media Data ◽  
Media Data
Sign in / Sign up

Export Citation Format

Share Document