scholarly journals Exploring demographic information in social media for product recommendation

2015 ◽  
Vol 49 (1) ◽  
pp. 61-89 ◽  
Author(s):  
Wayne Xin Zhao ◽  
Sui Li ◽  
Yulan He ◽  
Liwei Wang ◽  
Ji-Rong Wen ◽  
...  
Keyword(s):  
Social Media ◽  
Demographic Information ◽  
Product Recommendation

scholarly journals Lawyers Response to COVID-19 Infodemic on Social Media

2021 ◽  
Author(s):  
Jibran Jamshed
Keyword(s):  
Social Media ◽  
Standard Deviation ◽  
Social Science ◽  
Quantitative Study ◽  
Online Survey ◽  
Information Use ◽  
Primary Objective ◽  
Demographic Information ◽  
Social Media Platforms ◽  
Use Of Social Media

<p><b>Objectives</b>: The primary objective of this study is to examine and analyze the skills and practices of lawyers in response to the misinformation/Infodemic of COVID-19 on Social Media platforms.</p> <p><b>Research Methodology</b>: In this quantitative study an online survey was conducted among lawyers in Pakistan. The population of the study was made up of practicing lawyers from different District Bar Associations in Pakistan. A questionnaire was distributed to collect data regarding demographic information, use of social media, response to misinformation about COVID-19 on social media and to identify the methods employed by lawyers to check the authenticity of such information. Collected data were first analyzed by using Statistical Package for Social Science (SPSS V 23) and then presented in frequency, mean, percentage, and standard deviation.</p> <p><b>Findings</b>: The study revealed that the majority of lawyers use social media platforms. It shows that the most popular social media platforms among the lawyers are Facebook and WhatsApp. The outcome shows that lawyers encounter fake stories about COVID-19. Critical thinking, comparison, and cross-checking are among the most commonly used techniques employed by the lawyers to check the authenticity of any information about the COVID-19 on social media. It also revealed that most of the time they share such news after checking its authenticity but sometimes they share it without confirming it.</p>

Investigating Deciding Factors of Product Recommendation in Social Media

2018 ◽  
pp. 249-257
Author(s):  
Jou Yu Chen ◽  
Ping Yu Hsu ◽  
Ming Shien Cheng ◽  
Hong Tsuen Lei ◽  
Shih Hsiang Huang ◽  
...  
Keyword(s):  
Social Media ◽  
Product Recommendation

scholarly journals Examination of the attitudes of middle school students towards social media

2016 ◽  
Vol 11 (1) ◽  
pp. 43 ◽  
Author(s):  
Sanser Bulu ◽  
Mustafa Numanoglu ◽  
Hafize Keser
Keyword(s):  
Middle School ◽  
Social Media ◽  
Middle School Students ◽  
Media Use ◽  
Education Level ◽  
Demographic Information ◽  
School Students ◽  
Social Media Use ◽  
Significant Difference ◽  
Media Services

This study aims to identify middle school students` general attitudes towards social media. Participants of this descriptive study were middle school students from three public schools (n=367) in Ankara. Data was collected using “Demographic Information Form” and “Social Media Attitudes Survey for Students” developed by Ferhat Suleyman Argin in 2013. Data was analyzed using ANOVA, t test, Mann-Whitney U test, Kruskall Wallis-H test, frequency (f) and percentage (%). In this study, demographic information such as students’ gender, school type, grade level, perceived income levels, mother’s education level, and father’s education level; and social media use information such as membership to social media services, duration of social media use, frequency of social media use, time spent on social media at each use, medium that they use social media, tools to access social media and most used social media were collected. Students’ scores for Social Media Attitudes Survey were compared between groups based on this demographic and social media use variables. There were not a significant difference of Social Media Attitudes scores between the groups based on gender, schools, grade levels, perceived income levels, mother’s education level, father’s education level, membership to social media services, medium that they use social media, and tools to access social media variables. There were a significant difference of Social Media Attitudes scores between the groups based on frequency of social media use, and time spent on social media at each use variables. Since most used social media services variable was not distributed homogeneously, it couldn’t be compared. Based on the students overall Social Media Attitudes scores averages and score distribution and standard deviations it could be claimed that students’ general attitude toward social media was positive and high. Keywords: Type your keywords here, separated by semicolons

scholarly journals A Framework to Score the Risk Associated with Suspicious Money Laundering Activity and Social Media Profile

2020 ◽  
Vol 4 (2) ◽  
pp. 1-10
Author(s):  
Dillip Kumar Parida ◽  
D. Prasanna Kumar
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Money Laundering ◽  
Extensive Literature ◽  
Demographic Information ◽  
The World ◽  
Risk Scoring ◽  
Financial Transactions ◽  
Customer Profiles ◽  
The Web

Money laundering has immense entailments. The criminal who possesses black money and wants to mask it as legitimate must fabricate the source to look genuine. It makes the crime organized and more systematic to break the financial system. The existing AML (Anti Money Laundering) solutions and its design based on the creation of a transaction profile. Most of the leading AML software focuses on financial transactions and rarely focuses on linked suspicious individual’s social media profiles. Social networking is one of the most popular platforms to interact with others and millions of users use these platforms to communicate with each other from around the world. At the same time, the web has plenty of social and demographic information to create an accurate profile that aims to construct a legitimate profile. This paper consolidates the fragmented discussion from several articles and provides a detailed view of fraud profile identification.  Practical insights are identified from various AML solutions and summarized from an extensive literature review. The risk scoring framework and definitions of filters can be widened to include more parameters for effective alert generation. In this paper, we propose an approach and risk scoring framework to assess customer profiles that drive the suspicious profile or transactions based on social media attributes.

scholarly journals Fast and Furious (at Publishers): The Motivations behind Crowdsourced Research Sharing

2017 ◽  
Vol 78 (2) ◽  
Author(s):  
Carolyn Caffrey Gardner ◽  
Gabriel J. Gardner
Keyword(s):  
Social Media ◽  
File Sharing ◽  
Peer To Peer ◽  
Library Services ◽  
Demographic Information ◽  
Interlibrary Loan ◽  
Frequency Of Use ◽  
Social Media Platforms ◽  
Information Frequency

Crowdsourced research sharing takes place across social media platforms including Twitter hashtags such as #icanhazpdf, Reddit Scholar, and Facebook. This study surveys users of these peer-to-peer exchanges on demographic information, frequency of use, and their motivations in both providing and obtaining scholarly information on these platforms. Respondents also provided their perspectives on the database terms of service and/or copyright violations in these exchanges. Findings indicate that the motivations of this community are utilitarian or ideological in nature, similar to other peer-to-peer file sharing online. Implications for library services including instruction, outreach, and interlibrary loan are discussed.

Association Between Social Media Use and Depression Among University Students

2021 ◽  
Vol 25 (1) ◽  
pp. 18-32
Author(s):  
Hidayah Sallehuddin ◽  
Rezki Perdani Sawai ◽  
Abdul Rashid Abdul Aziz ◽  
Mohd Faizal Kasmani
Keyword(s):  
Social Media ◽  
Undergraduate Students ◽  
Major Part ◽  
Pearson Correlation ◽  
Demographic Information ◽  
Social Media Addiction ◽  
Symptoms Of Depression ◽  
Children's Emotion ◽  
Pearson Correlation Test ◽  
The Relationship

The most widely used social media such as Twitter, Instagram and Facebook have changed the way we communicate with others especially amongst youth. It has been a major part of such activities in their lives. However, the most alarming situation is that youth are mostly students. It has been identified that those who spent more time online have evidenced more symptoms of depression. On that note, this study concerns to (i) identify the level of depression and (ii) to find out the relationship between social media and depression among them who are among undergraduate students. In order to retrieve the data, a set of questionnaire was distributed to 150 students of local university in Malaysia, that consists of three sections which are demographic information, Social Media Addiction Scale-Student Form (SMAS-SF) and Beck Depression Inventory 2nd Edition (BDI-II). There were two variables analyzed using Pearson correlation test. In short, the result showed that there is a correlation between social media and depression, r=0.199, n=150, p=<0.01. From this finding, it depicts that social media is significantly related and have positive relationship to depression among students involved. This study also provides such valuable information for counsellors and lecturers to identify students who have suffered depression and could help them to manage the problem. It also creates awareness among parents to be more alert with their children’s emotion.

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