Displaying publications 1 - 20 of 123 in total

Abstract:
Sort:
  1. Kadri N, Ng Kh
    Biomed Imaging Interv J, 2010 Jan-Mar;6(1):e1.
    PMID: 21611061 DOI: 10.2349/biij.6.1.e1
    Matched MeSH terms: Social Media*
  2. Nooraini Mohamad Sheriff, Aisya Syahira Zulkifli, Wan Nur Shahira Wan Othman
    MyJurnal
    As internet-based marketing utilizes channels of social media to interact and attract prospective customers to make online purchase for apparels there is a need to ascertain the extent to which salient features of social media such as customer engagement, attractive visual presentation and copywriting that are capable of driving such purchase. A total of 128 usable questionnaires were included in this study. Distribution of online questionnaires was assisted where the online questionnaire link in Google document was emailed to the company’s sales team who in turn blasted the online questionnaire via email to all of their online customers in their data base. A positive significant (0.01) high correlation of .709 for customer engagement and .711 were obtained for visual presentation with online purchase for apparels. In addition, a positive significant (0.01) modest correlation of .653was secured for copywriting and online purchase of apparels. The study affirms that online firms using social media marketing must ensure they engage their online customers through discussions, reviews, contest and comments to understand them better and to build relationship between their brand and customer’s which has a positive impact on sales. Social media marketing too needs an exemplary visual presentation to explain abstract concepts and facilitates retention of information and maintain audience interest which ultimately has a positive impact on sale. Consequently, copywriting too performs an important role of convincing people about a product by transforming product features into benefits to convince readers into making a purchase.
    Matched MeSH terms: Social Media*
  3. Zyoud SH, Sweileh WM, Awang R, Al-Jabi SW
    PMID: 29387147 DOI: 10.1186/s13033-018-0182-6
    Background: Social media, defined as interactive Web applications, have been on the rise globally, particularly among adults. The objective of this study was to investigate the trend of the literature related to the most used social network worldwide (i.e. Facebook, Twitter, LinkedIn, Snapchat, and Instagram) in the field of psychology. Specifically, this study will assess the growth in publications, citation analysis, international collaboration, author productivity, emerging topics and the mapping of frequent terms in publications pertaining to social media in the field of psychology.

    Methods: Publications related to social media in the field of psychology published between 2004 and 2014 were obtained from the Web of Science. The records extracted were analysed for bibliometric characteristics such as the growth in publications, citation analysis, international collaboration, emerging topics and the mapping of frequent terms in publications pertaining to social media in the field of psychology. VOSviewer v.1.6.5 was used to construct scientific maps.

    Results: Overall, 959 publications were retrieved during the period between 2004 and 2015. The number of research publications in social media in the field of psychology showed a steady upward growth. Publications from the USA accounted for 57.14% of the total publications and the highest h-index (48).The most common document type was research articles (873; 91.03%). Over 99.06% of the publications were published in English. Computers in Human Behavior was the most prolific journal. The University of Wisconsin-Madison ranked first in terms of the total publications (n = 39). A visualisation analysis showed that personality psychology, experimental psychology, psychological risk factors, and developmental psychology were continual concerns of the research.

    Conclusions: This is the first study reporting the global trends in the research related to social media in the psychology field. Based on the raw data from the Web of Science, publication characteristics such as quality and quantity were assessed using bibliometric techniques over 12 years. The USA and its institutions play a dominant role in this topic. The most preferred topics related to social media in psychology are personality psychology, experimental psychology, psychological risk factors, and developmental psychology.
    Matched MeSH terms: Social Media*
  4. Flaherty GT, Walden LM
    Travel Med Infect Dis, 2015 Mar-Apr;13(2):120-1.
    PMID: 25812774 DOI: 10.1016/j.tmaid.2015.03.005
    Matched MeSH terms: Social Media*
  5. Momtazmanesh S, Samieefar N, Uddin LQ, Ulrichs T, Kelishadi R, Roudenok V, et al.
    Adv Exp Med Biol, 2021;1318:911-921.
    PMID: 33973219 DOI: 10.1007/978-3-030-63761-3_51
    In the COVID-19 era, while we are encouraged to be physically far away from each other, social and scientific networking is needed more than ever. The dire consequences of social distancing can be diminished by social networking. Social media, a quintessential component of social networking, facilitates the dissemination of reliable information and fighting against misinformation by health authorities. Distance learning, telemedicine, and telehealth are among the most prominent applications of networking during this pandemic. Additionally, the COVID-19 pandemic highlights the importance of collaborative scientific efforts. In this chapter, we summarize the advantages of harnessing both social and scientific networking in minimizing the harms of this pandemic. We also discuss the extra collaborative measures we can take in our fight against COVID-19, particularly in the scientific field.
    Matched MeSH terms: Social Media*
  6. Masngut N, Mohamad E
    J Med Internet Res, 2021 08 04;23(8):e28074.
    PMID: 34156967 DOI: 10.2196/28074
    BACKGROUND: The COVID-19 health crisis has posed an unprecedented challenge for governments worldwide to manage and communicate about the pandemic effectively, while maintaining public trust. Good leadership image in times of a health emergency is paramount to ensure public confidence in governments' abilities to manage the crisis.

    OBJECTIVE: The aim of this study was to identify types of image repair strategies utilized by the Malaysian government in their communication about COVID-19 in the media and analyze public responses to these messages on social media.

    METHODS: Content analysis was employed to analyze 120 media statements and 382 comments retrieved from Facebook pages of 2 mainstream newspapers-Berita Harian and The Star. These media statements and comments were collected within a span of 6 weeks prior to and during the first implementation of Movement Control Order by the Malaysian Government. The media statements were analyzed according to Image Repair Theory to categorize strategies employed in government communications related to COVID-19 crisis. Public opinion responses were measured using modified lexicon-based sentiment analysis to categorize positive, negative, and neutral statements.

    RESULTS: The Malaysian government employed all 5 Image Repair Theory strategies in their communications in both newspapers. The strategy most utilized was reducing offensiveness (75/120, 62.5%), followed by corrective action (30/120, 25.0%), evading responsibilities (10/120, 8.3%), denial (4/120, 3.3%), and mortification (1/120, 0.8%). This study also found multiple substrategies in government media statements including denial, shifting blame, provocation, defeasibility, accident, good intention, bolstering, minimization, differentiation, transcendence, attacking accuser, resolve problem, prevent recurrence, admit wrongdoing, and apologize. This study also found that 64.7% of public opinion was positive in response to media statements made by the Malaysian government and also revealed a significant positive association (P=.04) between image repair strategies utilized by the Malaysian government and public opinion.

    CONCLUSIONS: Communication in the media may assist the government in fostering positive support from the public. Suitable image repair strategies could garner positive public responses and help build trust in times of crisis.

    Matched MeSH terms: Social Media*
  7. Tri Sakti AM, Mohamad E, Azlan AA
    J Med Internet Res, 2021 08 09;23(8):e28249.
    PMID: 34280116 DOI: 10.2196/28249
    BACKGROUND: One of the successful measures to curb COVID-19 spread in large populations is the implementation of a movement restriction order. Globally, it was observed that countries implementing strict movement control were more successful in controlling the spread of the virus as compared with those with less stringent measures. Society's adherence to the movement control order has helped expedite the process to flatten the pandemic curve as seen in countries such as China and Malaysia. At the same time, there are countries facing challenges with society's nonconformity toward movement restriction orders due to various claims such as human rights violations as well as sociocultural and economic issues. In Indonesia, society's adherence to its large-scale social restrictions (LSSRs) order is also a challenge to achieve. Indonesia is regarded as among the worst in Southeast Asian countries in terms of managing the spread of COVID-19. It is proven by the increased number of daily confirmed cases and the total number of deaths, which was more than 6.21% (1351/21,745) of total active cases as of May 2020.

    OBJECTIVE: The aim of this study was to explore public sentiments and emotions toward the LSSR and identify issues, fear, and reluctance to observe this restriction among the Indonesian public.

    METHODS: This study adopts a sentiment analysis method with a supervised machine learning approach on COVID-19-related posts on selected media platforms (Twitter, Facebook, Instagram, and YouTube). The analysis was also performed on COVID-19-related news contained in more than 500 online news platforms recognized by the Indonesian Press Council. Social media posts and news originating from Indonesian online media between March 31 and May 31, 2020, were analyzed. Emotion analysis on Twitter platform was also performed to identify collective public emotions toward the LSSR.

    RESULTS: The study found that positive sentiment surpasses other sentiment categories by 51.84% (n=1,002,947) of the total data (N=1,934,596) collected via the search engine. Negative sentiment was recorded at 35.51% (686,892/1,934,596) and neutral sentiment at 12.65% (244,757/1,934,596). The analysis of Twitter posts also showed that the majority of public have the emotion of "trust" toward the LSSR.

    CONCLUSIONS: Public sentiment toward the LSSR appeared to be positive despite doubts on government consistency in executing the LSSR. The emotion analysis also concluded that the majority of people believe in LSSR as the best method to break the chain of COVID-19 transmission. Overall, Indonesians showed trust and expressed hope toward the government's ability to manage this current global health crisis and win against COVID-19.

    Matched MeSH terms: Social Media*
  8. Sood S
    Med J Malaysia, 2015 Feb;70(1):59-61.
    PMID: 26032536 MyJurnal
    There is little information about the willingness of medical students to participate in Facebook for education. I analyzed my interactions with students for the past 14 months to estimate the quantity of student interaction. A Facebook Group was created. Students friend requests were accepted, but "friending" was never solicited. Questions were created around a clinical situation and posted. Forty questions were posted. 5/40 questions were about physics/chemistry. 24 questions focused on basic medical sciences. 11 questions were primarily about clinical medicine. In fourteen months, 533/810 (66%) college students joined the Group. In all, 163/533 students (30%) responded at least once. Half of all responses were comments; the rest were clicks on the "like" button. The average number of responses was 9.5 unique students/question. If participation is voluntary, and targeted students are large in number, one can expect about 66% of students to become members of a site, and about 30% of these to interact. For any given question posted on the site, about 2% of members will respond, regardless of the nature of question: clinically oriented or basic.
    Matched MeSH terms: Social Media
  9. Tan Lee CY, Ngatirin NR, Zainol Z
    MyJurnal
    Personality represents the mixture of features and qualities that built an individual’s distinctive characters including thinking, feeling and behaving. Traditionally, self-assessment method via questionnaire is the most common means to identify personality. Since recommender systems and advertisement
    campaigns have evolved rapidly, personality computing has become a popular research field to provide personalisation to users. Currently, researchers have utilised social media data for automatically predicting personality. However, it is complex to mine the social media data as they are noisy, free-format, and
    of varying length and multimedia. This paper proposes a decision tree C4.5 algorithm to automatically predict personality based on Big Five model. The Big Five Inventory and ZeroR algorithm were included to be served as the baseline for performance evaluation. Experimental evaluation demonstrated that C4.5
    performs better than ZeroR in terms of accuracy.
    Keywords: Big Five, decision tree, personality, social media
    Matched MeSH terms: Social Media
  10. Yang TY, Dehghantanha A, Choo KK, Muda Z
    PLoS One, 2016;11(3):e0150300.
    PMID: 26982207 DOI: 10.1371/journal.pone.0150300
    Instant messaging (IM) has changed the way people communicate with each other. However, the interactive and instant nature of these applications (apps) made them an attractive choice for malicious cyber activities such as phishing. The forensic examination of IM apps for modern Windows 8.1 (or later) has been largely unexplored, as the platform is relatively new. In this paper, we seek to determine the data remnants from the use of two popular Windows Store application software for instant messaging, namely Facebook and Skype on a Windows 8.1 client machine. This research contributes to an in-depth understanding of the types of terrestrial artefacts that are likely to remain after the use of instant messaging services and application software on a contemporary Windows operating system. Potential artefacts detected during the research include data relating to the installation or uninstallation of the instant messaging application software, log-in and log-off information, contact lists, conversations, and transferred files.
    Matched MeSH terms: Social Media*
  11. Khairuddin MA, Rao A
    PLoS One, 2017;12(6):e0179435.
    PMID: 28622350 DOI: 10.1371/journal.pone.0179435
    With more and more political candidates using social media for campaigning, researchers are looking at measuring the effectiveness of this medium. Most research, however, concentrates on the bare count of likes (or twitter mentions) in an attempt to correlate social media presence and winning. In this paper, we propose a novel method, Interaction Strength Plot (IntS) to measure the passive interactions between a candidate's posts on Facebook and the users (liking the posts). Using this method on original Malaysian General Election (MGE13) and Australian Federal Elections (AFE13) Facebook Pages (FP) campaign data, we label an FP as performing well if both the posting frequency and the likes gathered are above average. Our method shows that over 60% of the MGE13 candidates and 85% of the AFE13 candidates studied in this paper had under-performing FP. Some of these FP owners would have been identified as popular based on bare count. Thus our performance chart is a vital step forward in measuring the effectiveness of online campaigning.
    Matched MeSH terms: Social Media*
  12. Soon JM
    J Food Prot, 2020 Mar 01;83(3):452-459.
    PMID: 32065648 DOI: 10.4315/0362-028X.JFP-19-415
    ABSTRACT: Social media offers numerous advantages for personal users and organizations to communicate, socialize, and market their products. When used correctly, social media is an effective tool to communicate and to share food safety news and good practices. However, there have been reports of fake food safety news shared via social media, fueling panic and resulting in a loss of revenue. Thus, this study aimed to investigate the consumers' awareness, trust, and usage of social media in communicating food safety news in Malaysia. A questionnaire divided into five sections-(i) demographics, (ii) reaction to food safety news, (iii) consumers' awareness, (iv) social media truth and level of trust, and (v) social media uses and content creation-was created and shared online. A total of 341 questionnaires were returned of which 339 surveys were valid. This study revealed that less than one-third of the study group (27.1%) knew which of the food safety news were fake. Most respondents (67.8%) were less likely to purchase the affected foods if the foods were featured in social media as problematic, although no differences were made between true and fake news and how that would influence respondents' willingness to purchase affected foods. Overall, 62% of the respondents agreed or strongly agreed about the usage of social media and its ability to prevent food poisoning cases, while more than 50% of the respondents were in total agreement that social media allow consumers to act more responsibly by sharing food safety news. Respondents tended to trust information shared by scientists (67.5%) and family members and friends (33%). Respondents would most often share the news after verifying its authenticity (46%). If respondents experienced a personal food safety issue (e.g., discovered a fly in their meal), they seldom or never took photos to post online (56.1%). It is possible that the respondents preferred to inform the food handlers and/or shop owners about the affected products rather than post the photos online. It is suggested that targeted food safety information and media literacy be provided to improve consumers' awareness and to positively influence self-verification of the food safety information before sharing. This study provides crucial insights for a range of stakeholders, particularly public authorities, food bloggers, and the public, in using social media effectively to build consumers' awareness and trust in food safety information.

    HIGHLIGHTS:

    Matched MeSH terms: Social Media*
  13. Guraya SS, Guraya SY, Yusoff MSB
    BMC Med Educ, 2021 Jul 12;21(1):381.
    PMID: 34247617 DOI: 10.1186/s12909-021-02802-9
    BACKGROUND: Despite a rapid rise of use of social media in medical disciplines, uncertainty prevails among healthcare professionals for providing medical content on social media. There are also growing concerns about unprofessional behaviors and blurring of professional identities that are undermining digital professionalism. This review tapped the literature to determine the impact of social media on medical professionalism and how can professional identities and values be maintained in digital era.

    METHODS: We searched the databases of PubMed, ProQuest, ScienceDirect, Web of Science, and EBSCO host using (professionalism AND (professionalism OR (professional identity) OR (professional behaviors) OR (professional values) OR (professional ethics))) AND ((social media) AND ((social media) OR (social networking sites) OR Twitter OR Facebook)) AND (health professionals). The research questions were based on sample (health professionals), phenomenon of interest (digital professionalism), design, evaluation and research type. We screened initial yield of titles using pre-determined inclusion and exclusion criteria and selected a group of articles for qualitative analysis. We used the Biblioshiny® software package for the generation of popular concepts as clustered keywords.

    RESULTS: Our search yielded 44 articles with four leading themes; marked rise in the use of social media by healthcare professionals and students, negative impact of social media on digital professionalism, blurring of medical professional values, behaviors, and identity in the digital era, and limited evidence for teaching and assessing digital professionalism. A high occurrence of violation of patient privacy, professional integrity and cyberbullying were identified. Our search revealed a paucity of existing guidelines and policies for digital professionalism that can safeguard healthcare professionals, students and patients.

    CONCLUSIONS: Our systematic review reports a significant rise of unprofessional behaviors in social media among healthcare professionals. We could not identify the desired professional behaviors and values essential for digital identity formation. The boundaries between personal and professional practices are mystified in digital professionalism. These findings call for potential educational ramifications to resurrect professional virtues, behaviors and identities of healthcare professionals and students.

    Matched MeSH terms: Social Media*
  14. A Rahim AI, Ibrahim MI, Musa KI, Chua SL, Yaacob NM
    PMID: 34574835 DOI: 10.3390/ijerph18189912
    Social media is emerging as a new avenue for hospitals and patients to solicit input on the quality of care. However, social media data is unstructured and enormous in volume. Moreover, no empirical research on the use of social media data and perceived hospital quality of care based on patient online reviews has been performed in Malaysia. The purpose of this study was to investigate the determinants of positive sentiment expressed in hospital Facebook reviews in Malaysia, as well as the association between hospital accreditation and sentiments expressed in Facebook reviews. From 2017 to 2019, we retrieved comments from 48 official public hospitals' Facebook pages. We used machine learning to build a sentiment analyzer and service quality (SERVQUAL) classifier that automatically classifies the sentiment and SERVQUAL dimensions. We utilized logistic regression analysis to determine our goals. We evaluated a total of 1852 reviews and our machine learning sentiment analyzer detected 72.1% of positive reviews and 27.9% of negative reviews. We classified 240 reviews as tangible, 1257 reviews as trustworthy, 125 reviews as responsive, 356 reviews as assurance, and 1174 reviews as empathy using our machine learning SERVQUAL classifier. After adjusting for hospital characteristics, all SERVQUAL dimensions except Tangible were associated with positive sentiment. However, no significant relationship between hospital accreditation and online sentiment was discovered. Facebook reviews powered by machine learning algorithms provide valuable, real-time data that may be missed by traditional hospital quality assessments. Additionally, online patient reviews offer a hitherto untapped indication of quality that may benefit all healthcare stakeholders. Our results confirm prior studies and support the use of Facebook reviews as an adjunct method for assessing the quality of hospital services in Malaysia.
    Matched MeSH terms: Social Media*
  15. Bhaskaran D
    BJOG, 2017 Feb;124(3):525.
    PMID: 28120546 DOI: 10.1111/1471-0528.14295
    Matched MeSH terms: Social Media/legislation & jurisprudence; Social Media/ethics*
  16. Ng KH, Lean ML
    Health Phys, 2012 Sep;103(3):307-10.
    PMID: 22850236 DOI: 10.1097/HP.0b013e318257cfcb
    The potential of social media has expanded far beyond the initial function of social communication among a network of friends. It has become an increasingly important tool in risk communication to allow the dissemination of timely and accurate information to global citizens to make more informed choices regarding a particular crisis. The Fukushima nuclear crisis is an example where the potential of social media was not fully tapped. This caused undue stress and distrust of authorities. While the use of social media in this crisis could have altered significantly the level of trust in authorities and others, two additional points should be considered. One point is the use of plain language versus scientific language in order to reach a wider audience. The other is an urgent need to improve public information especially in the event of a nuclear emergency and to enhance educational efforts and action by improving radiological protection communication from regulatory bodies and international agencies. These are points that also play a large role in the use of social media.
    Matched MeSH terms: Social Media*
  17. Kurubaran Ganasegeran, Sami Abdo Radman Al-Dubai, Surajudeen Abiola Abdulrahman, Sivashunmugam Sangaran, Hau, Wilson Wuei Yeow, Pukunan Renganathan
    ASEAN Journal of Psychiatry, 2017;18(2):226-235.
    MyJurnal
    Objectives: With the explosion in the use of WhatsApp Messenger globally, the revalence of late-night WhatsApping is poised to show a commensurate increase. This has sparked debates on a possible new wave of technological addiction that could cause serious psycho-behavioral repercussions. Acknowledging the ubiquity of WhatsApp, healthcare professionals have adopted it as a preferred communication tool in clinical practice. This preliminary cross-sectional study aimed to explore the prevalence of and psycho-behavioral factors associated with late-night WhatsApping.
    Methods: It was conducted on a universal sample of 307 healthcare professionals across medical and casualty departments in a Malaysian public hospital. The self-administered questionnaire consisted of items on socio-demographics, WhatsApp usage characteristics, and psycho-behavioral attributes.
    Results: Majority of respondents (72.9%) reported late-night WhatsApping habits. In multivariate analyses, late-night WhatsApping was significantly higher among those who used WhatsApp for more than 12 months (Adjusted odds ratio, AOR = 4.4, 95% Confidence interval, CI 2.2–8.8, p < 0.001), those who frequently kept
    mobile data on to avoid missing WhatsApp messages (AOR = 3.2, 95% CI 1.3–5.8, p = 0.006), those with frequent social connections (AOR = 3.0, 95% CI 1.4–6.4, p = 0.003), and those living alone (AOR = 2.3, 95% CI 1.1–5.2, p = 0.038).
    Conclusion: Late-night WhatsApping was significantly associated with usage characteristics and psycho-behavioral attributes.
    Matched MeSH terms: Social Media*
  18. Salarzadeh Jenatabadi H, Moghavvemi S, Wan Mohamed Radzi CWJB, Babashamsi P, Arashi M
    PLoS One, 2017;12(9):e0182311.
    PMID: 28886019 DOI: 10.1371/journal.pone.0182311
    Learning is an intentional activity, with several factors affecting students' intention to use new learning technology. Researchers have investigated technology acceptance in different contexts by developing various theories/models and testing them by a number of means. Although most theories/models developed have been examined through regression or structural equation modeling, Bayesian analysis offers more accurate data analysis results. To address this gap, the unified theory of acceptance and technology use in the context of e-learning via Facebook are re-examined in this study using Bayesian analysis. The data (S1 Data) were collected from 170 students enrolled in a business statistics course at University of Malaya, Malaysia, and tested with the maximum likelihood and Bayesian approaches. The difference between the two methods' results indicates that performance expectancy and hedonic motivation are the strongest factors influencing the intention to use e-learning via Facebook. The Bayesian estimation model exhibited better data fit than the maximum likelihood estimator model. The results of the Bayesian and maximum likelihood estimator approaches are compared and the reasons for the result discrepancy are deliberated.
    Matched MeSH terms: Social Media*
  19. Ahadzadeh AS, Ong FS, Wu SL, Deng R
    J Psychol, 2021;155(3):334-355.
    PMID: 33705270 DOI: 10.1080/00223980.2021.1884035
    Past studies examining the direct relationship between private self-consciousness and online self-presentation behavior have not met with much success. The aim of this study was to examine the direct relationship between private self-consciousness and self-monitoring as well as the indirect relationship between these two variables through the mediation of locus of control and self-concept among Instagram users. Besides investigating locus of control and self-concept independently, serial mediation of locus of control and self-concept in the relationship between private self-consciousness and self-monitoring was also examined. A sample of 309 university students was conveniently drawn from three private universities in Kuala Lumpur, Malaysia. Participants completed a survey that collected data on private self-consciousness, internal locus of control, self-concept, self-monitoring on Instagram and relevant demographic data. Results of this study showed that there is no direct relationship between private self-consciousness and self-monitoring on Instagram. Independently, locus of control was found to mediate the relationship between private self-consciousness and self-monitoring while self-concept did not. The serial-multiple mediation test supported the mediating role of locus of control and self-concept on this relationship. These indirect relationships contribute to our understanding of the underlying mechanism through which private self-consciousness influences self-monitoring on Instagram.
    Matched MeSH terms: Social Media*
  20. Bilal M, Gani A, Lali MIU, Marjani M, Malik N
    Cyberpsychol Behav Soc Netw, 2019 Jul;22(7):433-450.
    PMID: 31074639 DOI: 10.1089/cyber.2018.0670
    Social media has taken an important place in the routine life of people. Every single second, users from all over the world are sharing interests, emotions, and other useful information that leads to the generation of huge volumes of user-generated data. Profiling users by extracting attribute information from social media data has been gaining importance with the increasing user-generated content over social media platforms. Meeting the user's satisfaction level for information collection is becoming more challenging and difficult. This is because of too much noise generated, which affects the process of information collection due to explosively increasing online data. Social profiling is an emerging approach to overcome the challenges faced in meeting user's demands by introducing the concept of personalized search while keeping in consideration user profiles generated using social network data. This study reviews and classifies research inferring users social profile attributes from social media data as individual and group profiling. The existing techniques along with utilized data sources, the limitations, and challenges are highlighted. The prominent approaches adopted include Machine Learning, Ontology, and Fuzzy logic. Social media data from Twitter and Facebook have been used by most of the studies to infer the social attributes of users. The studies show that user social attributes, including age, gender, home location, wellness, emotion, opinion, relation, influence, and so on, still need to be explored. This review gives researchers insights of the current state of literature and challenges for inferring user profile attributes using social media data.
    Matched MeSH terms: Social Media*
Filters
Contact Us

Please provide feedback to Administrator (tengcl@gmail.com)

External Links