scholarly journals Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Kiran Chaudhary ◽  
Mansaf Alam ◽  
Mabrook S. Al-Rakhami ◽  
Abdu Gumaei
Keyword(s):  
Social Media ◽  
Big Data ◽  
Consumer Behavior ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Process Data ◽  
Social Media Platform ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform

AbstractSocial media is popular in our society right now. People are using social media platforms to purchase various products. We collected the data from various social media platforms. We analyzed the data for prediction of the consumer behavior on the social media platform. We considered the consumer data from Facebook, Twitter, Linked In and YouTube, Instagram, and Pinterest, etc. There are diverse and high-speed, high volume data which are coming from social media platform, so we used predictive big data analytics. In this paper, we have used the concept of big data technology to process data and analyze it to predict consumer behavior on social media. We have analyzed consumer behavior on social media platforms based on some parameters and criteria. We analyzed the consumer perception, attitude towards the social media platform. To get good quality of result, we pre-process data using various data pre-processing to detect outlier, noises, error, and duplicate record. We developed mathematical modeling using machine learning to predict consumer behavior on the social media platform. This model is a predictive model for predicting consumer behavior on the social media platform. 80% of data are used for training purposes and 20% for testing.

scholarly journals Habib Husein Jafar Al-Hadar’s Da’wa Content Commodification on Youtube

2021 ◽  
Vol 15 (1) ◽  
pp. 1-11
Author(s):  
Akhmad Roja Badrus Zaman ◽  
Mahin Muqaddam Assarwani
Keyword(s):  
Social Media ◽  
Young Person ◽  
Social Media Platform ◽  
Virtual Ethnography ◽  
The Social ◽  
People’S Perception ◽  
Social Media Platforms ◽  
Media Platform ◽  
Definition Of ◽  
Selection Of

Advances in technology and information provide new opportunities for preachers to be able to take part in spreading Islamic teachings through various social media platforms. One of the preachers who took the role to preach through social media was Habib Husein Jafar al-Hadar. This article examines Habib Husein Jafar’s missionary activities on the social media platform he uses, Youtube. The researcher analyzes the data by observing virtually and visually (virtual ethnography) on the da’wa content displayed by Habib Husein Jafar through Youtube. The study shows that: 1) the attention to the spiritual enlightenment efforts of the younger generation is the basis of the selection of the social media platform Youtube - because based on previous research, the users of this social media platform are 18-29 years of age; 2) starting from the da’wa consumers who are primarily young people, the content they present is suitable to their needs and lifestyle and 3) by using the concept of the circuit of culture analysis, Habib Husein Jafar in various ranges can reconstruct people’s perception of one’s definition of holiness. It is not limited based on normative appearance - cloaked and sacrificed, for example - but more on the substantive side, namely by behaving and having knowledgeable skills. With the variety of content, he could visualize himself as a pious young man by not abandoning his social status as a young person.

Mediatization of conflict in the social media era: A case study of Sino-Indian border crisis in 2017

Journalism ◽  
2019 ◽  
pp. 146488491987032 ◽  
Author(s):  
Shixin Ivy Zhang
Keyword(s):  
Social Media ◽  
Actor Network Theory ◽  
Social Media Platform ◽  
The Public ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform ◽  
Central Argument ◽  
Actor Networks

Inspired by the concepts of Arrested War and actor–network theory, this study has traced and analyzed four main actors in the wars and conflicts in the social media age: social media platform, the mainstream news organizations, online users, and social media content. These four human and nonhuman actors associate, interact, and negotiate with each other in the social media network surrounding specific issues. Based on the case study of Sino-Indian border crisis in 2017, the central argument is that social media is playing an enabling role in contemporary wars and conflicts. Both professional media outlets and web users employ the functionalities of social media platforms to set, counter-set, or expand the public agenda. Social media platform embodies a web of technological and human complexities with different actors, factors, interests, and relations. These actor-networks and the macro social-political context are influential in the mediatization of conflict in the social media era.

“Digital buddies”: parasocial interactions in social media

2016 ◽  
Vol 10 (4) ◽  
pp. 305-320 ◽  
Author(s):  
Mujde Yuksel ◽  
Lauren I. Labrecque
Keyword(s):  
Social Media ◽  
Student Athletes ◽  
Future Research ◽  
Content Type ◽  
Social Media Platform ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform ◽  
Personal Accounts ◽  
Parasocial Interactions

Purpose This paper aims to focus its inquiries on the parasocial interactions (PSI) and relationships (PSR) consumers form with personae in online social media communities. The authors extend the marketing literature on parasocial interaction/relationship beyond brands by focusing on personal social media accounts (public student-athletes). Design/methodology/approach The authors adopt a grounded theory methodology (Glaser and Strauss, 2009) triangulating observational netnographic data (Kozinets, 2010) of 49 public student-athlete accounts on Twitter (34,500 tweets) with in-depth interviews. The findings emphasize that PSI/PSR occur not only from interactions with brands but also through personal accounts on social media platforms. Findings The investigation reveals that through such social media platforms, PSI/PSR influence consumers cognitively, affectively and behaviorally. In terms of cognition, the data suggest that PSI/PSR can influence opinion, interests, attention allocation and construction of relations, specifically through the availability of in-depth knowledge about the social media persona. Additionally, the research findings indicate that affect-laden messages from persona can alter emotion and mood, induce empathetic reactions and trigger inspiration, especially in relation to the shared interest of the online community of the social media account. Behaviorally, the findings suggest that personas’ messages can direct and inspire both online and offline actions through endorsed behavioral parasocial interactions. Research limitations/implications This research focused on one specific social media platform, Twitter. Twitter was specifically chosen, because it is a popular social media platform and allows non-reciprocal relationships. Although the authors feel that the findings would hold for other social media platforms, future research may be conducted to see if there are differences in PSI/PSR development on different types of networks. Additionally, the authors focused on a specific type of personal account, student-athletes. Future research may wish to extend beyond this population to other personal social media accounts, such as fashion bloggers, diy bloggers and others. Originality/value This research reveals that PSI/PSR can occur not only from interactions with brands but also through personal accounts on social media platforms. The findings give support for the value of brand spokespersons and brand ambassadors and suggest that brands should take careful consideration into who is chosen to represent the brand.

scholarly journals Human Behavior Analysis Using Intelligent Big Data Analytics

2021 ◽  
Vol 12 ◽  
Author(s):  
Muhammad Usman Tariq ◽  
Muhammad Babar ◽  
Marc Poulin ◽  
Akmal Saeed Khattak ◽  
Mohammad Dahman Alshehri ◽  
...  
Keyword(s):  
Social Media ◽  
Big Data ◽  
Human Behavior ◽  
Data Analytics ◽  
Data Science ◽  
Big Data Analytics ◽  
Apache Spark ◽  
Social Media Data ◽  
The Social ◽  
Media Data

Intelligent big data analysis is an evolving pattern in the age of big data science and artificial intelligence (AI). Analysis of organized data has been very successful, but analyzing human behavior using social media data becomes challenging. The social media data comprises a vast and unstructured format of data sources that can include likes, comments, tweets, shares, and views. Data analytics of social media data became a challenging task for companies, such as Dailymotion, that have billions of daily users and vast numbers of comments, likes, and views. Social media data is created in a significant amount and at a tremendous pace. There is a very high volume to store, sort, process, and carefully study the data for making possible decisions. This article proposes an architecture using a big data analytics mechanism to efficiently and logically process the huge social media datasets. The proposed architecture is composed of three layers. The main objective of the project is to demonstrate Apache Spark parallel processing and distributed framework technologies with other storage and processing mechanisms. The social media data generated from Dailymotion is used in this article to demonstrate the benefits of this architecture. The project utilized the application programming interface (API) of Dailymotion, allowing it to incorporate functions suitable to fetch and view information. The API key is generated to fetch information of public channel data in the form of text files. Hive storage machinist is utilized with Apache Spark for efficient data processing. The effectiveness of the proposed architecture is also highlighted.

scholarly journals Tanggung Gugat Akun Media Sosial Tanpa Identitas Asli Atas Perbuatan Melanggar Hukum

2021 ◽  
Vol 4 (6) ◽  
pp. 2277
Author(s):  
Desy Ramadhani Pratini
Keyword(s):  
Social Media ◽  
Social Media Platform ◽  
Legal Subject ◽  
Civil Lawsuit ◽  
The Social ◽  
Civil Suit ◽  
Social Media Platforms ◽  
Media Platform ◽  
Illegal Acts ◽  
The Law

AbstractLiability (aansprakelejikeheidcausing) is a condition in which a party or a legal subject, if after committing an act of breaking the law, and losses to other parties must bear it. Unlawful acts can also be found on a social media platform, along with the types of accountability. There is a tendency for illegal acts committed by owners of social media accounts without identity because one of the social media platforms is not accompanied by verification of personal identity at the time of account creation. This unlawful act through social media accounts without real identity is an insult and defamation which is a special form of an illegal act. On the other hand, for the losses suffered by the victim, a civil suit against the law can be filed. However, due to difficulties in the civil lawsuit process, namely by not knowing the identity of the account owner. Then this can only be done if there is a final legally binding decision regarding criminal law.Keywords: Unlawful; Liability of Liability; Social Media Accounts.AbstrakTanggung gugat (Liability/aansprakelejikeheid) merupakan suatu kondisi dimana pihak atau subjek hukum apabila setelah melakukan perbuatan melanggar hukum, dan membawa kerugian bagi pihak lain, ia harus menanggungnya. Perbuatan melanggar hukum dapat pula ditemui dalam suatu platform media sosial, disertai dengan jenis tanggung gugatnya. Kecenderungan terdapatnya perbuatan melanggar hukum yang dilakukan oleh pemilik akun media sosial tanpa identitas disebabkan oleh salah satu platform media sosial tidak disertai verifikasi identitas pribadi pada saat pembuatan akun. Perbuatan melanggar hukum melalui akun media sosial tanpa identitas asli ini adalah penghinaan dan pencemaran nama baik yang merupakan bentuk khusus dari perbuatan melanggar hukum. Di sisi lain, atas kerugian yang dialami oleh korban, dapat diajukannya upaya gugatan keperdataan dengan gugatan perbuatan melanggar hukum. Namun, dikarenakan terdapatnya kesulitan dalam proses gugatan keperdataan, yaitu dengan tidak diketahuinya identitas pemilik akun. Maka hal tersebut baru dapat dilakukan apabila terdapat putusan yang berkekuatan hukum tetap mengenai hukum pidana. Kata Kunci: Perbuatan Melanggar Hukum; Tanggung Gugat; Akun Media Sosial.

scholarly journals Machine Learning Based Mathematical Modelling for Prediction of Social Media Consumer behaviour using Big Data Analytics

2021 ◽  
Author(s):  
Kiran Chaudhary ◽  
Mansaf Alam ◽  
Mabrook S. Al-Rakhami ◽  
Abdu Gumaei
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Analytics ◽  
High Speed ◽  
Consumer Behaviour ◽  
Big Data Analytics ◽  
Quality Data ◽  
Volume Data ◽  
Process Data ◽  
Big Data Technology

Abstract Almost many consumers are inclined by social media to purchase the product and spend more money on purchasing. We got the data from social media to analyse the consumer behaviour. We have considered the consumer data from Facebook, Twitter, LinkedIn and YouTube. There is diversity and high-speed, high volume data is coming from social media, so we used big data technology. Big Data Technology is the recent technology is used in various field of research. In this paper we have used the concept of big data technology to process data and analyse to predict the consumer behaviour on social media. We have analysed the consumer behaviour based on certain parameter and criteria. we have analysed the consumer perception, attitude towards the social media. For doing the prediction we have pre-process the data to make the quality data so that we can take the quality decision based on outcome of our model. We have used the predictive big data analytics technique to analyse the consumer behaviour prediction in this paper.

scholarly journals The Footy Girls of Tumblr: How Women Found Their Niche in the Online Football Fandom

2019 ◽  
pp. 216747951986007 ◽  
Author(s):  
Jessica Kunert
Keyword(s):  
Social Media ◽  
Qualitative Interviews ◽  
Safe Space ◽  
Social Media Platform ◽  
Sports Fandom ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform ◽  
Soccer Fans ◽  
Communication Culture

This study examines how female football (soccer) fans use the social media platform Tumblr to interact and talk about their fandom, what purposes Tumblr serves for them, and why they prefer it to other social media platforms. As women are often marginalised in offline and online sports discourse, Tumblr’s football fandom was chosen to investigate how women experience their fandom on a platform with a mostly female and young user population. The results of 14 in-depth qualitative interviews with heavily invested female Tumblr users show that the fandom’s communication culture allows fans to interact in a variety of creative ways that involve the use of a specialist vocabulary. This Tumblr fandom is overwhelmingly female, which makes the interviewees feel that they can talk freely about football. Thus, Tumblr has the potential to serve as a safe space for female fans. Yet, its highly opinionated discussions and rivalries mirror those in the traditional football fandom. This study contributes to the literature that explores how women express their sports fandom online and demonstrates how they have found a niche in which to discuss their favourite sport on their own terms.

Fake or real news? Understanding the gratifications and personality traits of individuals sharing fake news on social media platforms

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Brinda Sampat ◽  
Sahil Raj
Keyword(s):  
Social Media ◽  
Personality Traits ◽  
Information Sharing ◽  
Fake News ◽  
Content Type ◽  
Social Media Platform ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform ◽  
News Sharing

Purpose“Fake news” or misinformation sharing using social media sites into public discourse or politics has increased dramatically, over the last few years, especially in the current COVID-19 pandemic causing concern. However, this phenomenon is inadequately researched. This study examines fake news sharing with the lens of stimulus-organism-response (SOR) theory, uses and gratification theory (UGT) and big five personality traits (BFPT) theory to understand the motivations for sharing fake news and the personality traits that do so. The stimuli in the model comprise gratifications (pass time, entertainment, socialization, information sharing and information seeking) and personality traits (agreeableness, conscientiousness, extraversion, openness and neuroticism). The feeling of authenticating or instantly sharing news is the organism leading to sharing fake news, which forms the response in the study.Design/methodology/approachThe conceptual model was tested by the data collected from a sample of 221 social media users in India. The data were analyzed with partial least squares structural equation modeling to determine the effects of UGT and personality traits on fake news sharing. The moderating role of the platform WhatsApp or Facebook was studied.Findings The results suggest that pass time, information sharing and socialization gratifications lead to instant sharing news on social media platforms. Individuals who exhibit extraversion, neuroticism and openness share news on social media platforms instantly. In contrast, agreeableness and conscientiousness personality traits lead to authentication news before sharing on the social media platform.Originality/value This study contributes to social media literature by identifying the user gratifications and personality traits that lead to sharing fake news on social media platforms. Furthermore, the study also sheds light on the moderating influence of the choice of the social media platform for fake news sharing.

scholarly journals Seeing the smart city on Twitter: Colour and the affective territories of becoming smart

2018 ◽  
Vol 37 (3) ◽  
pp. 411-427 ◽  
Author(s):  
Gillian Rose ◽  
Alistair Willis
Keyword(s):  
Social Media ◽  
Smart City ◽  
Smart Cities ◽  
Urban Life ◽  
Data Visualisation ◽  
Social Media Platform ◽  
Smart Learning ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform

This paper pays attention to the immense and febrile field of digital image files which picture the smart city as they circulate on the social media platform Twitter. The paper considers tweeted images as an affective field in which flow and colour are especially generative. This luminescent field is territorialised into different, emergent forms of becoming ‘smart’. The paper identifies these territorialisations in two ways: firstly, by using the data visualisation software ImagePlot to create a visualisation of 9030 tweeted images related to smart cities; and secondly, by responding to the affective pushes of the image files thus visualised. It identifies two colours and three ways of affectively becoming smart: participating in smart, learning about smart, and anticipating smart, which are enacted with different distributions of mostly orange and blue images. The paper thus argues that debates about the power relations embedded in the smart city should consider the particular affective enactment of being smart that happens via social media. More generally, the paper concludes that geographers must pay more attention to the diverse and productive vitalities of social media platforms in urban life and that this will require experiment with methods that are responsive to specific digital qualities.

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