CommuniMents

2021 ◽  
pp. 382-404
Author(s):  
Muhammad Aslam Jarwar ◽  
Rabeeh Ayaz Abbasi ◽  
Mubashar Mushtaq ◽  
Onaiza Maqbool ◽  
Naif R. Aljohani ◽  
...  
Keyword(s):  
Social Media ◽  
Quantitative Evaluation ◽  
Real World ◽  
Research Problem ◽  
Snowball Sampling ◽  
Human Communication ◽  
Qualitative And Quantitative ◽  
Specific Event ◽  
Exchange Information

Social media has revolutionized human communication and styles of interaction. Due to its effectiveness and ease, people have started using it increasingly to share and exchange information, carry out discussions on various events, and express their opinions. Various communities may have diverse sentiments about events and it is an interesting research problem to understand the sentiments of a particular community for a specific event. In this article, the authors propose a framework CommuniMents which enables us to identify the members of a community and measure the sentiments of the community for a particular event. CommuniMents uses automated snowball sampling to identify the members of a community, then fetches their published contents (specifically tweets), pre-processes the contents and measures the sentiments of the community. The authors perform qualitative and quantitative evaluation for a variety of real world events to validate the effectiveness of the proposed framework.

CommuniMents

2017 ◽  
Vol 13 (2) ◽  
pp. 87-108 ◽  
Author(s):  
Muhammad Aslam Jarwar ◽  
Rabeeh Ayaz Abbasi ◽  
Mubashar Mushtaq ◽  
Onaiza Maqbool ◽  
Naif R. Aljohani ◽  
...  
Keyword(s):  
Social Media ◽  
Quantitative Evaluation ◽  
Real World ◽  
Research Problem ◽  
Snowball Sampling ◽  
Human Communication ◽  
Qualitative And Quantitative ◽  
Specific Event ◽  
Exchange Information

Social media has revolutionized human communication and styles of interaction. Due to its effectiveness and ease, people have started using it increasingly to share and exchange information, carry out discussions on various events, and express their opinions. Various communities may have diverse sentiments about events and it is an interesting research problem to understand the sentiments of a particular community for a specific event. In this article, the authors propose a framework CommuniMents which enables us to identify the members of a community and measure the sentiments of the community for a particular event. CommuniMents uses automated snowball sampling to identify the members of a community, then fetches their published contents (specifically tweets), pre-processes the contents and measures the sentiments of the community. The authors perform qualitative and quantitative evaluation for a variety of real world events to validate the effectiveness of the proposed framework.

Mobile augmented reality (MAR) game as a travel guide: insights from Pokémon GO

2017 ◽  
Vol 8 (1) ◽  
pp. 55-72 ◽  
Author(s):  
Ajay Aluri
Keyword(s):  
Social Media ◽  
Augmented Reality ◽  
Real World ◽  
Target Population ◽  
Tourism Industry ◽  
Mobile Augmented Reality ◽  
Snowball Sampling ◽  
Content Type ◽  
Travel Guide ◽  
Pokémon Go

Purpose The purpose of this study is to examine the aspects of the Pokémon GO game that influenced travelers to use the app, and to pinpoint aspects of the mobile augmented reality (MAR) game that can memorably engage with them like a travel guide and influence individual traveler experience during and after usage. This current study specifically focused on examining the behavioral intentions to use the MAR app as a travel guide in the future. Design/methodology/approach Descriptive methods were used, with a target population for this study consisting of smartphone users who had downloaded Pokémon GO and had played the game. An exponential non-discriminative sample, snowball sampling method, was chosen by selecting a group of respondents who have played the game and using those to help identify other respondents in the target population who have played the game. A 15-item survey instrument drawing from industry insights and academic literature was created for the purpose of the study. Findings The number of downloads, length of usage and frequency of game play declined between the months of July and September. However, a 71 per cent majority of surveyed respondents still had the app on their smartphone at the time of the study. The Pokémon GO app offered all four realms of experiences – educational, entertainment, esthetic and escapist – and enhanced the overall user experience. This study revealed that a majority (77 per cent) of the respondents would be interested in using Pokémon GO as a travel guide. Furthermore, a majority (73 per cent) of respondents stated that they would be interested in using an MAR game as a travel guide in the future. Research limitations/implications For all its interaction with the real world, Pokémon GO is still just an early version of an MAR app, and does not offer a fully immersive and interactive AR experience. The study used snowball sampling due to its exploratory and may not be able to guarantee the representative nature of the sample. Concerning the research method used, such methods were necessary for a review of an existing MAR app as a travel guide to further fill some gaps in literature. Practical implications This study bridged the gap between theory and practice by offering key insights specifically into customers’ intentions to use the Pokémon GO game or other customized MAR game as a travel guide in the hospitality and tourism industry. Pokémon GO and similar MAR games could potentially change the way destinations are marketed in the tourism industry. This current study pinpointed five exploitable qualities of MAR technology and how hospitality and tourism businesses can use them to tap into this new global and social phenomenon. Social implications Pokémon GO and similar MAR games bring people together. In fact, unlike social media, where users are spending significant amounts of time just browsing without posting or interacting with others, MAR games create face-to-face interactions. MAR games enhance real-life social interaction, which might signify a social media trend back toward real world networking and meeting with friends. Originality/value Since the early 2000s, several qualitative and a few quantitative studies have been done to explore (MAR) applications as a travel guide; however, none of them have reviewed a MAR game app that can be offered as a travel guide. That makes this a pioneer study, investigating an existing MAR app that was not created with this use in mind and examining the intentions to use it as a travel guide.

Hubungan Alexithymia dengan Kecanduan Media Sosial pada Remaja di Jakarta Selatan

2020 ◽  
Vol 1 (2) ◽  
pp. 9
Author(s):  
Yunita Mansyah Lestari ◽  
Suzy Yusna Dewi ◽  
Aulia Chairani
Keyword(s):  
Social Media ◽  
Interpersonal Relationships ◽  
P Value ◽  
Snowball Sampling ◽  
Research Subjects ◽  
Chi Square ◽  
Toronto Alexithymia Scale ◽  
Social Media Addiction ◽  
Consecutive Sampling ◽  
Tas 20

ABSTRAK   Alexithymia ditandai dengan ketidakmampuan dalam mengenali dan mengekpresikan emosi serta pemikiran yang berorientasi eksternal sehingga mereka memiliki hubungan interpersonal yang buruk. Remaja dengan alexithymia cenderung menjadi kecanduan media sosial.Penelitian ini bertujuan untuk mengetahui hubungan antara Alexithymia terhadap kecanduan media sosial pada remaja di Jakarta Selatan. Subjek penelitian adalah remaja yang berusia 13-19 tahun dan tinggal di Jakarta selatan. Pengambilan data menggunakan metode consecutive sampling dan snowball sampling dengan menyebar kuesioner menggunakan link googleform. Jumlah subjek penelitian sebanyak 207 orang (41 = laki-laki, 166 = perempuan). Skala yang digunakan adalah Toronto Alexithymia Scale (TAS-20) dan Social Media Disorder (SMD). Analisa data menggunakan metode chi-square pada SPSS 25. Hasil penelitian didapatkan 85 orang mengalami alexithymia, 88 mengalami kecanduan dan 62 orang mengalami alexithymia dan kecanduan media sosial. p-value didapatkan 0,000. Hal ini berarti terdapat hubungan antara Alexithymia dengan Kecanduan Media Sosial pada remaja di Jakarta Selatan. Kata Kunci :Alexithymia, Kecanduan Media Sosial, Remaja     ABSTRACT   Alexithymia is characterized by an inability to recognize and express emotions and have external oriented thoughts so that they have poor interpersonal relationships. Teenagers with alexithymial tend to become addicted to social media. This study aims to determine the relationship between Alexithymia towards social media addiction in adolescents in South Jakarta. The research subjects were adolescents aged 13-19 years and lived in south Jakarta. Retrieval of the data was using consecutive sampling and snowball sampling method by distributing questionnaires using the googleform link. The number of research subjects was 207 people (41 = men, 166 = women). The scale was used is the Toronto Alexithymia Scale (TAS-20) and Social Media Disorder (SMD). Data analysis using the chi-square method in SPSS 25. The results showed that 85 people had alexithymia, 88 were addicted and 62 people had alexithymia and were addicted to social media. p-value obtained is 0,000. This means that there is a relationship between Alexithymia and Social Media Addiction in adolescents in South Jakarta. Keyword : Adolescents, Alexithymia, Social Media Addiction

DERADICALISATION IDEAS IN SOCIAL MEDIA THROUGH THE RELIGIOUS-MULTICULTURAL THERAPY APPROACH TO THE DA'WAH CULTURE

2020 ◽  
Vol 24 (1) ◽  
pp. 58
Author(s):  
Anwar Hafidzi
Keyword(s):  
Social Media ◽  
Real World ◽  
Environmental Conditions ◽  
Islamic Law ◽  
Research Tool ◽  
Therapy Approach ◽  
The Real ◽  
Multicultural Therapy ◽  
Online Social Media ◽  
Library Research

This research begins with an understanding of the endemic radicalism of society, not only of the real world, but also of various online social media. This study showed that the avoidance of online radicalism can be stopped as soon as possible by accusing those influenced by the radical radicality of a secular religious approach. The methods used must be assisted in order to achieve balanced understanding (wasathiyah) under the different environmental conditions of the culture through recognizing the meaning of religion. The research tool used is primarily library work and the journal writings by Abu Rokhmad, a terrorist and radicalise specialist. The results of this study are that an approach that supports inclusive ism will avoid the awareness of radicalization through a heart-to-heart approach. This study also shows that radical actors will never cease to argue dramatically until they are able to grasp different views from Islamic law, culture, and families.Keywords: radicalism, deradicalization, multiculturalism, culture, religion, moderate.Penelitian ini berawal dari paham radikalisme yang telah mewabah di masyarakat, bukan hanya di dunia nyata, bahkan sudah menyusup di berbagai media sosial online. Penelitian ini menemukan bahwa cara menangkal radikalisme online dapat dilakukan pencegahan sedini mungkin melalui pendekatan konseling religius multikultural terhadap mereka yang terkena paham radikal radikal. Diantara teknik yang digunakan adalah melalui pemahaman tentang konsep agama juga perlu digalakkan agar memunculkan pemahaman yang moderat (wasathiyah) diberbagai keadaan lingkungan masyarakat. Metode yang digunakan untuk penelitian ini adalah library research dengan sumber utama adalah karya dan jurnal karya Abu Rokhmad seorang pakar dalam masalah terorisme dan radikalisme. Temuan penelitian ini adalah paham radikalisasi itu dapat dihentikan dengan pendekatan hati ke hati dengan mengedepankan budaya yang multikultural. Kajian ini juga membuktikan bahwa pelaku paham radikal tidak akan pernah berhenti memberikan argumen radikal kecuali mampu memahami perbedaan pendapat yang bersumber dari syariat Islam, lingkungan sosial, dan keluarga.Kata kunci: radikalisme, deradikalisasi, multikultural, budaya, agama, moderat.

scholarly journals COVID-19, Social Media, and the Role of the Public Physician

2021 ◽  
pp. 1-7
Author(s):  
Joel M. Topf ◽  
Paul N. Williams
Keyword(s):  
Social Media ◽  
Real World ◽  
The Public ◽  
Large Segment ◽  
Core Part ◽  
Audience Size

The COVID-19 pandemic has resulted in an avalanche of information, much of it false or misleading. Social media posts with misleading or dangerous opinions and analyses are often amplified by celebrities and social media influencers; these posts have contributed substantially to this avalanche of information. An emerging force in this information infodemic is public physicians, doctors who view a public presence as a large segment of their mission. These physicians bring authority and real-world experience to the COVID-19 discussion. To investigate the role of public physicians, we interviewed a convenience cohort of physicians who have played a role in the infodemic. We asked the physicians about how their roles have changed, how their audience has changed, what role politics plays, and how they address misinformation. The physicians noted increased audience size with an increased focus on the pandemic. Most avoided confronting politics, but others found it unavoidable or that even if they tried to avoide it, it would be brought up by their audience. The physicians felt that confronting and correcting misinformation was a core part of their mission. Public physicians on social media are a new occurrence and are an important part of fighting online misinformation.

scholarly journals Classification of unlabeled online media

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sakthi Kumar Arul Prakash ◽  
Conrad Tucker
Keyword(s):  
Social Media ◽  
Real World ◽  
Graphical Model ◽  
Ground Truth ◽  
Classification Problem ◽  
Machine Learning Algorithms ◽  
Social Media Networks ◽  
Online Social Media ◽  
Wide Range

AbstractThis work investigates the ability to classify misinformation in online social media networks in a manner that avoids the need for ground truth labels. Rather than approach the classification problem as a task for humans or machine learning algorithms, this work leverages user–user and user–media (i.e.,media likes) interactions to infer the type of information (fake vs. authentic) being spread, without needing to know the actual details of the information itself. To study the inception and evolution of user–user and user–media interactions over time, we create an experimental platform that mimics the functionality of real-world social media networks. We develop a graphical model that considers the evolution of this network topology to model the uncertainty (entropy) propagation when fake and authentic media disseminates across the network. The creation of a real-world social media network enables a wide range of hypotheses to be tested pertaining to users, their interactions with other users, and with media content. The discovery that the entropy of user–user and user–media interactions approximate fake and authentic media likes, enables us to classify fake media in an unsupervised learning manner.

scholarly journals Affective communication: a mixed method investigation into COVID-19 outbreak communication using the Taiwanese government Facebook page

2021 ◽  
pp. 175797592110035
Author(s):  
Chia Yu Lien ◽  
Yun-Hsuan Wu
Keyword(s):  
Social Media ◽  
Mixed Method ◽  
Health Authority ◽  
Disease Outbreak ◽  
Government Agencies ◽  
Affective Communication ◽  
Frontline Workers ◽  
The Public ◽  
Qualitative And Quantitative ◽  
Quantitative Results

The COVID-19 outbreak has created an unprecedented challenge for governments to convey information to the public, and social media has become a critical method of COVID-19 communication in Taiwan. Objectives: This study examines a total of 1128 Facebook posts published by Taiwan’s principal health authority from December 1, 2019 to May 31, 2020. Methods: Using both qualitative and quantitative approaches, this study investigates strategies used by the Taiwan government to communicate the COVID-19 outbreak and public responses toward these strategies. Result: Novel uses of Facebook posts on outbreak communication were identified, including solidarity, reviews of actions, press conferences, and the use of animal and cartoon images. Quantitative results showed that the public responded significantly more frequently to messages generating positive affects, such as posts that reviewed government actions and public efforts; posts that expressed thanks, approval, or comradeship; and posts that paired text with photographs of frontline workers or cute animals. Conclusion: These results suggest that, amid a disease outbreak, the public not only look for updated situations and guidelines but also for affective affirmation from government agencies.

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