scholarly journals Research on Prediction of Different Categories of Video based on YOUTUBE Using Text Mining and Sentiment Analysis

2021 ◽  
Vol 13 ◽  
pp. 176-179
Author(s):  
Lin Gan
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Sentiment Analysis ◽  
Quality Evaluation ◽  
Media Content ◽  
Product Reviews ◽  
Current Events ◽  
Media Research ◽  
Social Media Research ◽  
Analysis Quality

With the development of online commentary research, scholars have tried to tap into the deeper value of online commentary from the analysis of sentiment analysis, quality evaluation, false comment recognition to the usefulness of comments. Previous studies have focused on online product reviews while news reviews. Social media research has been relatively rare. social media and news commentary contain readers' opinions and evaluations on current events, and reflect the trend of public opinion. The purpose of this paper is to investigate and analyze the intrinsic link between social media content of different type and the number of commentaries, and sentiment analysis.

An Investigation Into the Reasons Physical Education Professionals Use Twitter

2018 ◽  
Vol 37 (4) ◽  
pp. 383-396 ◽  
Author(s):  
Stephen Harvey ◽  
Brendon Hyndman
Keyword(s):  
Social Media ◽  
Physical Education ◽  
Text Mining ◽  
Survey Data ◽  
Research Directions ◽  
Education Professionals ◽  
Classification Framework ◽  
Media Research ◽  
Social Media Research

Purpose: To date, there have been limited investigations relating to physical education (PE) professionals’ engagement in the use of Twitter. Consequently, the aim of the study was to investigate the reasons PE professionals use Twitter, with questions underpinned by Casey, Goodyear, and Armour’s three-level conceptual classification framework of Pedagogies of Technology. Method: The application of Leximancer text mining software was uniquely employed to text mine the survey data to determine the key themes and concepts. Results: It was discovered that PE professionals perceived the Twitter platform to be highly valuable to connect with others in the profession, learn from others, and share ideas (both within schools and more broadly) via a convenient, usable form of technology. Discussion/Conclusions: Understanding the reasons PE professionals use Twitter can provide a broader understanding for those contemplating the utilization of this platform and inform future Twitter/social media research directions for the field of PE.

scholarly journals ‘I feel the irritation and frustration all over the body’ Affective ambiguities in networked parenting culture

2021 ◽  
pp. 136787792110035
Author(s):  
Mari Lehto ◽  
Susanna Paasonen
Keyword(s):  
Social Media ◽  
Media Use ◽  
Research Data ◽  
The Body ◽  
Social Media Use ◽  
Working Through ◽  
Media Research ◽  
Social Media Research ◽  
Study Participants

This article investigates the affective power of social media by analysing everyday encounters with parenting content among mothers. Drawing on data composed of diaries of social media use and follow-up interviews with six women, we ask how our study participants make sense of their experiences of parenting content and the affective intensities connected to it. Despite the negativity involved in reading and participating in parenting discussions, the participants find themselves wanting to maintain the very connections that irritate them, or even evoke a sense of failure, as these also yield pleasure, joy and recognition. We suggest that the ambiguities addressed in our research data speak of something broader than the specific experiences of the women in question. We argue that they point to the necessity of focusing on, and working through affective ambiguity in social media research in order to gain fuller understanding the complex appeal of platforms and exchanges.

Sentiment Analysis of Participant Comments in a User Centered Design Study for Degraded Visual Environment Sensor Visualization

2020 ◽  
Vol 64 (1) ◽  
pp. 2075-2078
Author(s):  
Bradley M. Davis ◽  
Samineh C. Gillmore ◽  
Derek Millard
Keyword(s):  
Sentiment Analysis ◽  
The Other ◽  
Visual Environment ◽  
User Centered Design ◽  
Design Study ◽  
Design Studies ◽  
Analysis Technique ◽  
Media Research ◽  
Social Media Research ◽  
User Centered

Several methodologies in user centered research lead to the collection of large amounts of comments about a product or system. The growth of social media research has led to the development of sentiment analysis algorithms that computationally analyze the meaning of text. This paper utilized the Valence Aware Dictionary for sEntiment Reasoning (VADER) sentiment analysis technique to assess comments from a user centered design study for a rotorcraft degraded visual environment mitigation system. The sentiment analysis findings mirror results from the other measures of the user centered design study. This paper supports the use of sentiment analysis for large volumes of comment data from user centered design studies.

iSA: A fast, scalable and accurate algorithm for sentiment analysis of social media content

2016 ◽  
Vol 367-368 ◽  
pp. 105-124 ◽  
Author(s):  
Andrea Ceron ◽  
Luigi Curini ◽  
Stefano Maria Iacus
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Media Content

scholarly journals Is It Time to Re-Evaluate the Ethics Governance of Social Media Research?

2018 ◽  
Vol 13 (4) ◽  
pp. 452-454 ◽  
Author(s):  
G. Samuel ◽  
W. Ahmed ◽  
H. Kara ◽  
C. Jessop ◽  
S. Quinton ◽  
...  
Keyword(s):  
Social Media ◽  
Research Ethics ◽  
Ethical Issues ◽  
Real Life ◽  
Ethics Committees ◽  
Research Ethics Committees ◽  
Media Ethics ◽  
Research Institution ◽  
Media Research ◽  
Social Media Research

This article reports on a U.K. workshop on social media research ethics held in May 2018. There were 10 expert speakers and an audience of researchers, research ethics committee members, and research institution representatives. Participants reviewed the current state of social media ethics, discussing well-rehearsed questions such as what needs consent in social media research, and how the public/private divide differs between virtual and real-life environments. The lack of answers to such questions was noted, along with the difficulties posed for ethical governance structures in general and the work of research ethics committees in particular. Discussions of these issues enabled the creation of two recommendations. The first is for research ethics committees and journal editors to add the category of ‘data subject research’ to the existing categories of ‘text research’ and ‘human subject research’. This would reflect the fact that social media research does not fall into either of the existing categories and so needs a category of its own. The second is that ethical issues should be considered at all stages of social media research, up to and including aftercare. This acknowledges that social media research throws up a large number of ethical issues throughout the process which, under current arrangements for ethical research governance, risks remaining unaddressed.

scholarly journals Navigating Big Data dilemmas: Feminist holistic reflexivity in social media research

2018 ◽  
Vol 5 (2) ◽  
pp. 205395171880773 ◽  
Author(s):  
Cheryl Cooky ◽  
Jasmine R Linabary ◽  
Danielle J Corple
Keyword(s):  
Social Media ◽  
Big Data ◽  
Institutional Review Boards ◽  
Social Media Data ◽  
Institutional Review ◽  
Slow Adaptation ◽  
Private Research ◽  
Media Research ◽  
Social Media Research ◽  
Media Data

Social media offers an attractive site for Big Data research. Access to big social media data, however, is controlled by companies that privilege corporate, governmental, and private research firms. Additionally, Institutional Review Boards’ regulative practices and slow adaptation to emerging ethical dilemmas in online contexts creates challenges for Big Data researchers. We examine these challenges in the context of a feminist qualitative Big Data analysis of the hashtag event #WhyIStayed. We argue power, context, and subjugated knowledges must each be central considerations in conducting Big Data social media research. In doing so, this paper offers a feminist practice of holistic reflexivity in order to help social media researchers navigate and negotiate this terrain.

scholarly journals Kesantunan Mahasiswa Dalam Berbahasa Indonesia Di Media Sosial: Whatsapp, Facebook, Dan Instagram

2021 ◽  
Vol 8 (1) ◽  
pp. 39-46
Author(s):  
Widya Tri Utomo ◽  
Andhika Djalu Sembada ◽  
Ricky Santoso Muharam
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Positive Impact ◽  
Oral Communication ◽  
Written Communication ◽  
Personal Writing ◽  
Qualitative Descriptive ◽  
Media Research ◽  
Social Media Research ◽  
Word Selection

The research aims to analyze students' modesty in Indonesian on social media, so that students pay more attention to the modesty in Indonesian through social media. Research uses qualitative descriptive methods to describe complex social realities by describing, classifying, analyzing, and interpreting data according to its natural condition. Data collection techniques take from student conversation screenshoots from social media WhatsApp, Facebook, and Instagram.The results showed, 1) there is still an ambiguous use of the word in written communication, 2) the use of the word "Sorry" to start a conversation on social media, 3) displeasure in giving greetings to lecturers, 4) the use of casual language (disrespectful) to lecturers, 5) indifference in word selection to lecturers through social media, and 6) insensitivity in giving opening greetings.Lecturers give direction to students through personal writing communication and provide examples of polite communication when chatting with students. The student's response after being given direction by the lecturer, has a positive impact. Students pay more attention to the civility of language when communicating with lecturers, either through written communication, or oral communication.

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