scholarly journals Intermittent brain network reconfigurations and the resistance to social media influence

2021 ◽  
Author(s):  
Italo Ivo Lima Dias Pinto ◽  
Nuttida Rungratsameetaweemana ◽  
Kristen Flaherty ◽  
Aditi Periyannan ◽  
Amir Meghdadi ◽  
...  
Keyword(s):  
Social Media ◽  
Brain Networks ◽  
Brain Network ◽  
Opinion Formation ◽  
Opinion Change ◽  
Neural Processes ◽  
Social Media Platforms ◽  
Media Platform ◽  
The Brain ◽  
Source Of Information

Since their development, social media has grown as a source of information and has a significant impact on opinion formation. Individuals interact with others and content via social media platforms in a variety of ways but it remains unclear how decision making and associated neural processes are impacted by the online sharing of informational content, from factual to fabricated. Here, we use EEG to estimate dynamic reconfigurations of brain networks and probe the neural changes underlying opinion change (or formation) within individuals interacting with a simulated social media platform. Our findings indicate that the individuals who show more malleable opinions are characterized by less frequent network reconfigurations while those with more rigid opinions tend to have more flexible brain networks with frequent reconfigurations. The nature of these frequent network configurations suggests a fundamentally different thought process between the individuals who are more easily influenced by social media and those who are not. We also show that these reconfigurations are distinct to the brain dynamics during an in-person discussion with strangers on the same content. Together, these findings suggest that network reconfigurations in the brain may not only be diagnostic to the informational context but also the underlie opinion formation.

scholarly journals Effects of a Motor Imagery Task on Functional Brain Network Community Structure in Older Adults: Data from the Brain Networks and Mobility Function (B-NET) Study

2021 ◽  
Vol 11 (1) ◽  
pp. 118
Author(s):  
Blake R. Neyland ◽  
Christina E. Hugenschmidt ◽  
Robert G. Lyday ◽  
Jonathan H. Burdette ◽  
Laura D. Baker ◽  
...  
Keyword(s):  
Older Adults ◽  
Graph Theory ◽  
Community Structure ◽  
Resting State ◽  
Brain Networks ◽  
Brain Network ◽  
Functional Brain ◽  
Network Community ◽  
Functional Brain Networks ◽  
The Brain

Elucidating the neural correlates of mobility is critical given the increasing population of older adults and age-associated mobility disability. In the current study, we applied graph theory to cross-sectional data to characterize functional brain networks generated from functional magnetic resonance imaging data both at rest and during a motor imagery (MI) task. Our MI task is derived from the Mobility Assessment Tool–short form (MAT-sf), which predicts performance on a 400 m walk, and the Short Physical Performance Battery (SPPB). Participants (n = 157) were from the Brain Networks and Mobility (B-NET) Study (mean age = 76.1 ± 4.3; % female = 55.4; % African American = 8.3; mean years of education = 15.7 ± 2.5). We used community structure analyses to partition functional brain networks into communities, or subnetworks, of highly interconnected regions. Global brain network community structure decreased during the MI task when compared to the resting state. We also examined the community structure of the default mode network (DMN), sensorimotor network (SMN), and the dorsal attention network (DAN) across the study population. The DMN and SMN exhibited a task-driven decline in consistency across the group when comparing the MI task to the resting state. The DAN, however, displayed an increase in consistency during the MI task. To our knowledge, this is the first study to use graph theory and network community structure to characterize the effects of a MI task, such as the MAT-sf, on overall brain network organization in older adults.

Playing platformized language games: Social media logic and the mutation of participatory cultures in Chinese online fandom

2021 ◽  
pp. 146144482110594
Author(s):  
Yiyi Yin ◽  
Zhuoxiao Xie
Keyword(s):  
Social Media ◽  
Language Games ◽  
Speech Community ◽  
Form Of Life ◽  
Fan Communities ◽  
Speech Communities ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform ◽  
Media Logic

This study discusses the shifting dynamics of fan participatory cultures on social media platforms by introducing the concept of “platformized language games.” We conceive of a fan community as a “speech community” and propose that the language and discourses of fan participatory cultures are technological practices that only make sense in use and interactions as “games” on social media platform. Based on an ethnography of communication on fan communities on Weibo, we analyze the technological-communicative acts of fan speech communities, including the platformized setting, participants, topics, norms, and key purposes. We argue that the social media logic (programmability, connectivity, popularity, and datafication) articulates with fans’ language games, thus shifting the “form of life” of celebrity fans on social media. Empirically, fan participatory cultures continue to mutate in China, as fan communities create idiosyncratic platformized language games based on the selective appropriation of the social media logics of connectivity and data-driven metrics.

Customer Experience: Extracting Topics From Tweets

2021 ◽  
pp. 147078532110475
Author(s):  
Manit Mishra
Keyword(s):  
Social Media ◽  
Customer Service ◽  
Latent Dirichlet Allocation ◽  
Online Shopping ◽  
Customer Experience ◽  
Process Failure ◽  
Shopping Experience ◽  
Social Media Platforms ◽  
Media Platform ◽  
Moments Of Truth

The ubiquity of social media platforms facilitates free flow of online chatter related to customer experience. Twitter is a prominent social media platform for sharing experiences, and e-retail firms are rapidly emerging as the preferred shopping destination. This study explores customers’ online shopping experience tweets. Customers tweet about their online shopping experience based on moments of truth shaped by encounters across different touchpoints. We aggregate 25,173 such tweets related to six e-retailers tweeted over a 5-year period. Grounded on agency theory, we extract the topics underlying these customer experience tweets using unsupervised latent Dirichlet allocation. The output reveals five topics which manifest into customer experience tweets related to online shopping—ordering, customer service interaction, entertainment, service outcome failure, and service process failure. Topics extracted are validated through inter-rater agreement with human experts. The study, thus, derives topics from tweets about e-retail customer experience and thereby facilitates prioritization of decision-making pertaining to critical service encounter touchpoints.

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.

scholarly journals Brain network dynamics correlate with personality traits

2019 ◽  
Author(s):  
Aya Kabbara ◽  
Veronique Paban ◽  
Arnaud Weill ◽  
Julien Modolo ◽  
Mahmoud Hassan
Keyword(s):  
Functional Connectivity ◽  
Personality Traits ◽  
Resting State ◽  
Brain Networks ◽  
Neural Substrates ◽  
Brain Network ◽  
Functional Brain ◽  
Human Connectome Project ◽  
Functional Brain Networks ◽  
The Brain

AbstractIntroductionIdentifying the neural substrates underlying the personality traits is a topic of great interest. On the other hand, it is now established that the brain is a dynamic networked system which can be studied using functional connectivity techniques. However, much of the current understanding of personality-related differences in functional connectivity has been obtained through the stationary analysis, which does not capture the complex dynamical properties of brain networks.ObjectiveIn this study, we aimed to evaluate the feasibility of using dynamic network measures to predict personality traits.MethodUsing the EEG/MEG source connectivity method combined with a sliding window approach, dynamic functional brain networks were reconstructed from two datasets: 1) Resting state EEG data acquired from 56 subjects. 2) Resting state MEG data provided from the Human Connectome Project. Then, several dynamic functional connectivity metrics were evaluated.ResultsSimilar observations were obtained by the two modalities (EEG and MEG) according to the neuroticism, which showed a negative correlation with the dynamic variability of resting state brain networks. In particular, a significant relationship between this personality trait and the dynamic variability of the temporal lobe regions was observed. Results also revealed that extraversion and openness are positively correlated with the dynamics of the brain networks.ConclusionThese findings highlight the importance of tracking the dynamics of functional brain networks to improve our understanding about the neural substrates of personality.

scholarly journals Percolation Analysis of Brain Structural Network

2021 ◽  
Vol 9 ◽  
Author(s):  
Shu Guo ◽  
Xiaoqi Chen ◽  
Yimeng Liu ◽  
Rui Kang ◽  
Tao Liu ◽  
...  
Keyword(s):  
Failure Modes ◽  
Critical Infrastructure ◽  
Network Reliability ◽  
Brain Connectivity ◽  
Brain Networks ◽  
Structural Features ◽  
Brain Network ◽  
Structure Design ◽  
Reliability Design ◽  
The Brain

The brain network is one specific type of critical infrastructure networks, which supports the cognitive function of biological systems. With the importance of network reliability in system design, evaluation, operation, and maintenance, we use the percolation methods of network reliability on brain networks and study the network resistance to disturbances and relevant failure modes. In this paper, we compare the brain networks of different species, including cat, fly, human, mouse, and macaque. The differences in structural features reflect the requirements for varying levels of functional specialization and integration, which determine the reliability of brain networks. In the percolation process, we apply different forms of disturbances to the brain networks based on metrics that characterize the network structure. Our findings suggest that the brain networks are mostly reliable against random or k-core-based percolation with their structure design, yet becomes vulnerable under betweenness or degree-based percolation. Our results might be useful to identify and distinguish brain connectivity failures that have been shown to be related to brain disorders, as well as the reliability design of other technological networks.

scholarly journals Are You on the Right Platform? A Conjoint Analysis of Social Media Preferences in Aesthetic Surgery Patients

2018 ◽  
Vol 39 (9) ◽  
pp. 1019-1032 ◽  
Author(s):  
Apoorve Nayyar ◽  
Jihane Jadi ◽  
Roja Garimella ◽  
Stephen Tyler Elkins-Williams ◽  
Kristalyn K Gallagher ◽  
...  
Keyword(s):  
Social Media ◽  
Conjoint Analysis ◽  
Aesthetic Surgery ◽  
Live Video ◽  
Social Media Platform ◽  
Comprehensive Information ◽  
Social Media Platforms ◽  
Media Platform ◽  
Delivery Mechanism ◽  
Media Preferences

Abstract Background Social media has become an indispensable tool for patients to learn about aesthetic surgery. Currently, procedure-specific patient preferences for social media platforms and content are unknown. Objectives The authors sought to evaluate social media preferences of patients seeking aesthetic surgery. Methods We utilized a choice-based conjoint analysis survey to analyze the preferences of patients seeking 3 common aesthetic procedures: breast augmentation (BA), facial rejuvenation (FR), and combined breast/abdominal surgery (BAB). Participants were asked to choose among social media platforms (Facebook, Twitter, Instagram, Snapchat, Pinterest, Tumblr, YouTube), information extent (basic, moderate, comprehensive), delivery mechanism (prerecorded video, live video, photographs, text description), messenger (surgeon, nurse/clinic staff, patient), and option for interactivity (yes/no). The survey was administered using an Internet crowdsourcing service (Amazon Mechanical Turk). Results A total of 647 participants were recruited: 201 in BA, 255 in FR, and 191 in BAB. Among attributes surveyed, participants in all 3 groups (BA, FR, BAB) valued social media platform as the most important (30.9%, 33.1%, 31.4%), followed by information extent (23.1%, 22.9%, 21.6%), delivery mechanism (18.9%, 17.4%, 18%), messenger (16%, 17%, 17.2%), and interactivity (11.1%, 9.8%, 11.8%). Within these attributes, Facebook ranked as the preferred platform, with comprehensive information extent, live video as the delivery mechanism, and surgeon as the messenger as most preferred. Conclusions The choice of social media platform is the most important factor for patients, and they indicated a preference for comprehensive information delivered by the surgeon via live video on Facebook. Our study elucidates social media usage in common aesthetic populations, which can help improve aesthetic patient outreach.

Graph Theory-Based Brain Network Connectivity Analysis and Classification of Alzheimer’s Disease

2021 ◽  
Author(s):  
A. Thushara ◽  
C. Ushadevi Amma ◽  
Ansamma John
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Graph Theory ◽  
Neurodegenerative Disorder ◽  
Brain Networks ◽  
Network Connectivity ◽  
Brain Regions ◽  
Brain Network ◽  
Fiber Tracts ◽  
The Brain

Alzheimer’s Disease (AD) is basically a progressive neurodegenerative disorder associated with abnormal brain networks that affect millions of elderly people and degrades their quality of life. The abnormalities in brain networks are due to the disruption of White Matter (WM) fiber tracts that connect the brain regions. Diffusion-Weighted Imaging (DWI) captures the brain’s WM integrity. Here, the correlation betwixt the WM degeneration and also AD is investigated by utilizing graph theory as well as Machine Learning (ML) algorithms. By using the DW image obtained from Alzheimer’s Disease Neuroimaging Initiative (ADNI) database, the brain graph of each subject is constructed. The features extracted from the brain graph form the basis to differentiate between Mild Cognitive Impairment (MCI), Control Normal (CN) and AD subjects. Performance evaluation is done using binary and multiclass classification algorithms and obtained an accuracy that outperforms the current top-notch DWI-based studies.

Platform Politics: The Emergence of Alternative Social Media in India

2021 ◽  
Vol 31 (2) ◽  
pp. 269-276
Author(s):  
Prashanth Bhat
Keyword(s):  
Social Media ◽  
Public Sphere ◽  
Hate Speech ◽  
Right Wing ◽  
Bharatiya Janata Party ◽  
The World ◽  
Social Media Platforms ◽  
Media Platform ◽  
Corporate Social ◽  
Widespread Dissemination

Widespread dissemination of hate speech on corporate social media platforms such as Twitter, Facebook, and YouTube has necessitated technological companies to moderate content on their platforms. At the receiving end of these content moderation efforts are supporters of right-wing populist parties, who have gained notoriety for harassing journalists, spreading disinformation, and vilifying liberal activists. In recent months, several prominent right-wing figures across the world were removed from social media - a phenomenon also known as ‘deplatforming’- for violating platform policies. Prominent among such right-wing groups are online supporters of the Hindu nationalist Bharatiya Janata Party (BJP) in India, who have begun accusing corporate social media of pursuing a ‘liberal agenda’ and ‘curtailing free speech.’ In response to deplatforming, the BJP-led Government of India has aggressively promoted and embraced Koo, an indigenously developed social media platform. This commentary examines the implications of this alternative social platform for the online communicative environment in the Indian public sphere.

Utilizing the Dimensions of Religion to Analyze Social Media Campaigns

2017 ◽  
pp. 202-220
Author(s):  
Iman Mohamed Zahra
Keyword(s):  
Social Media ◽  
Public Relations ◽  
Major Conclusion ◽  
Campaign Strategies ◽  
Media Campaigns ◽  
The Social ◽  
Campaign Messages ◽  
Social Media Platforms ◽  
Media Platform ◽  
Message Strategies

The objective of the current chapter is to analyze one of the most recent and successful social media campaigns namely #NotInMyName from the viewpoint of the seven dimensions of religion utilized by Van Esch and others as the main pillar of social marketing and media campaigns. Further #NotInMyName Public Relations (PR) campaign is scrutinized for PR strategies and message strategies utilized in formulating the campaign messages. To achieve that end, a qualitative analysis was implemented on three levels relating to each video and vine of the study sample: first locating the Dimensions of Religion (DOR taxonomy(ies) used in this video or vine, then emanating on the PR campaign strategies implemented in the video or vine and finally searching for the message strategies utilized in the video or vine. The major conclusion of this study was that although campaigns launched via social media lack the scientific known steps utilized to plan and launch media campaigns traditionally, those campaigns derive from the social media platform exacerbating an unprecedented power to stir political and social movements especially, regarding controversial and stagnant matters. Posts, comments and shares on different social media platforms go viral, stir discussions, and trigger public opinion both virtually and in reality. Dimensions of Religion taxonomies proved reliability as a viable platform stemming from another discipline to plan messages and to analyze campaigns based on the different aspects the model would provide. Ranging from simple aspects to more complicated aspects, Dimensions of Religion model must be subjected to further research to determine its feasibility to be applied to different campaigning structures and objectives.

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