Academic literature on the topic 'Facebook Infer'
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Journal articles on the topic "Facebook Infer"
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Alsaif, Suleiman Ali, Adel Hidri, and Minyar Sassi Hidri. "Towards Inferring Influential Facebook Users." Computers 10, no. 5 (May 9, 2021): 62. http://dx.doi.org/10.3390/computers10050062.
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Because of the complexity of the actors and the relationships between them, social networks are always represented by graphs. This structure makes it possible to analyze the effectiveness of the network for the social actors who are there. This work presents a social network analysis approach that focused on processing Facebook pages and users who react to posts to infer influential people. In our study, we are particularly interested in studying the relationships between the posts of the page, and the reactions of fans (users) towards these posts. The topics covered include data crawling, graph modeling, and exploratory analysis using statistical tools and machine learning algorithms. We seek to detect influential people in the sense that the influence of a Facebook user lies in their ability to transmit and disseminate information. Once determined, these users have an impact on business for a specific brand. The proposed exploratory analysis has shown that the network structure and its properties have important implications for the outcome of interest.
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Abu-Shanab, Emad, and Heyam Al-Tarawneh. "The Influence of Social Networks on High School Students' Performance." International Journal of Web-Based Learning and Teaching Technologies 10, no. 2 (April 2015): 49–59. http://dx.doi.org/10.4018/ijwltt.2015040104.
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Social networks are becoming an integral part of people's lives. Students are spending much time on social media and are considered the largest category that uses such application. This study tries to explore the influence of social media use, and especially Facebook, on high school students' performance. The study used the GPA of students in four courses and their responses regarding the use of social media. Statistical analysis is used to infer this relationship and its implications. Results indicated a support of this study aim and the relationship between the different dimensions of Facebook influence on students with respect to the time spent on the Internet and Facebook specifically. Conclusions and future work are stated at the end.
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Menk, Alan, and Laura Sebastia. "Are you Curious? Predicting the Human Curiosity from Facebook." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, Suppl. 2 (December 2017): 79–95. http://dx.doi.org/10.1142/s0218488517400128.
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Nowadays, social networks are daily used to share what people like, feel, where they travel to, etc. This huge amount of data can say a lot about their personality because it may reect their behaviour from the “real world” to the “virtual world”. Once obtained the access to this data, some authors have tried to infer the personality of the individual without the use of long questionnaires, only working with data in an implicit way, that is, transparently to the user. In this scenario, our work is focused on predicting one of the human personality traits, the Curiosity. In this paper, we analyse the information that can be extracted from the users’ profile on Facebook and the set of features that can be used to describe their degree of curiosity. Finally, we use these data to generate several prediction models. The best generated model is able to predict the degree of curiosity with an accuracy of 87%.
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Naudet, Yannick, Angeliki Antoniou, Ioanna Lykourentzou, Eric Tobias, Jenny Rompa, and George Lepouras. "Museum Personalization Based on Gaming and Cognitive Styles." International Journal of Virtual Communities and Social Networking 7, no. 2 (April 2015): 1–30. http://dx.doi.org/10.4018/ijvcsn.2015040101.
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This paper details and discusses experimental results obtained towards personalizing a museum visit through a personal mobile guide, using an approach relying on users' cognitive style, gaming, social networks, and recommendations. It describes the personalization system, which relies on a Facebook game to infer users' cognitive style, visiting style and interests, and a recommendation algorithm offering sequences of points of interests to visit. A qualitative and quantitative analysis of an experiment conducted in a museum is given, offering first conclusions and perspectives on the approach.
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Chen, Xingyu, Anais Ang, Jing Yi Lee, Jason Wong, Neo Loo Seng, Gabriel Ong, and Majeed Khader. "Identifying the Public’s Psychological Concerns in Response to COVID-19 Risk Messages in Singapore." Special Issue on COVID-19 4, no. 2 (July 2021): 271–308. http://dx.doi.org/10.30658/jicrcr.4.2.5.
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Understanding the social-psychological processes that characterize communities’ reactions to a pandemic is the first step toward formulating risk communications that can lead to better health outcomes. This study examines comments on Facebook pages of five Singapore media outlets to understand what topics are being discussed by the public in reaction to the implemented precautionary measures in Singapore so as to infer their psychological concerns. Using Anchored Correlation Explanation as a topic modelling technique, this study examines around 10,000 comments and identifies 21 topics that are discussed. The 21 topics were categorized and organized into seven broad themes of psychological concerns. Implications for theory and practice are then discussed.
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Roulin, Nicolas, and Adrian Bangerter. "Social Networking Websites in Personnel Selection." Journal of Personnel Psychology 12, no. 3 (January 2013): 143–51. http://dx.doi.org/10.1027/1866-5888/a000094.
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Industry surveys and media reports suggest that recruiters increasingly use social networking websites (SNWs) in the selection process, but corresponding scientific research is still limited. Using signaling theory, we examine SNWs as a new way for applicants to signal their qualities to recruiters. Results suggest that recruiters and potential applicants (students and graduates) both perceive professional SNWs (e.g., LinkedIn) as a potential antecedent of Person-Job fit information and personal SNWs (e.g., Facebook) as a potential antecedent of Person-Organization fit information. When evaluating the same SNW profile, recruiters and potential applicants focus on different sections of the profile (e.g., recruiters focus more on job-related information), but they tend to infer similar personality traits. Implications for using SNWs in selection are discussed.
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Yang, Shu, Xiaoxi Liu, and Raymond T. Ng. "ProbeRating: a recommender system to infer binding profiles for nucleic acid-binding proteins." Bioinformatics 36, no. 18 (June 23, 2020): 4797–804. http://dx.doi.org/10.1093/bioinformatics/btaa580.
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Abstract Motivation The interaction between proteins and nucleic acids plays a crucial role in gene regulation and cell function. Determining the binding preferences of nucleic acid-binding proteins (NBPs), namely RNA-binding proteins (RBPs) and transcription factors (TFs), is the key to decipher the protein–nucleic acids interaction code. Today, available NBP binding data from in vivo or in vitro experiments are still limited, which leaves a large portion of NBPs uncovered. Unfortunately, existing computational methods that model the NBP binding preferences are mostly protein specific: they need the experimental data for a specific protein in interest, and thus only focus on experimentally characterized NBPs. The binding preferences of experimentally unexplored NBPs remain largely unknown. Results Here, we introduce ProbeRating, a nucleic acid recommender system that utilizes techniques from deep learning and word embeddings of natural language processing. ProbeRating is developed to predict binding profiles for unexplored or poorly studied NBPs by exploiting their homologs NBPs which currently have available binding data. Requiring only sequence information as input, ProbeRating adapts FastText from Facebook AI Research to extract biological features. It then builds a neural network-based recommender system. We evaluate the performance of ProbeRating on two different tasks: one for RBP and one for TF. As a result, ProbeRating outperforms previous methods on both tasks. The results show that ProbeRating can be a useful tool to study the binding mechanism for the many NBPs that lack direct experimental evidence. and implementation Availability and implementation The source code is freely available at <https://github.com/syang11/ProbeRating>. Supplementary information Supplementary data are available at Bioinformatics online.
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van de Ven, Niels, Aniek Bogaert, Alec Serlie, Mark J. Brandt, and Jaap J. A. Denissen. "Personality perception based on LinkedIn profiles." Journal of Managerial Psychology 32, no. 6 (August 14, 2017): 418–29. http://dx.doi.org/10.1108/jmp-07-2016-0220.
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Purpose Job-related social networking websites (e.g. LinkedIn) are often used in the recruitment process because the profiles contain valuable information such as education level and work experience. The purpose of this paper is to investigate whether people can accurately infer a profile owner’s self-rated personality traits based on the profile on a job-related social networking site. Design/methodology/approach In two studies, raters inferred personality traits (the Big Five and self-presentation) from LinkedIn profiles (total n=275). The authors related those inferences to self-rated personality by the profile owner to test if the inferences were accurate. Findings Using information gained from a LinkedIn profile allowed for better inferences of extraversion and self-presentation of the profile owner (r’s of 0.24-0.29). Practical implications When using a LinkedIn profile to estimate trait extraversion or self-presentation, one becomes 1.5 times as likely to actually select the person with higher trait extraversion compared to the person with lower trait extraversion. Originality/value Although prior research tested whether profiles of social networking sites (such as Facebook) can be used to accurately infer self-rated personality, this was not yet tested for job-related social networking sites (such as LinkedIn). The results indicate that profiles at job-related social networks, in spite of containing only relatively standardized information, “leak” information about the owner’s personality.
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Hosny, Reham. "Understanding Cosmo-Literature." Digital Culture & Society 4, no. 2 (December 1, 2018): 185–202. http://dx.doi.org/10.14361/dcs-2018-0210.
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Abstract The central objective of this paper is to provide a new conceptual theoretical framework starting from the role of new new media in shaping a new kind of literature, which I call Cosmo-Literature. Towards this, I start working from Levinson’s differentiation among old media, new media, and new new media to arrive at the difference among the variable types of media. Next, I address the role of new new media in establishing world democracies and changing the social, cultural, and political world map. After that, I investigate the terms of “global village” and “cosmopolitanism” in relation to literature. To clarify what I mean by Cosmo Literature, I will investigate two new new media novels: Only One Millimeter Away, an Arabic Facebook novel by the Moroccan novelist Abdel-Wahid Stitu, and Hearts, Keys and Puppetry an English Twitter novel by Neil Gaiman, to infer the characteristics of Cosmo-Literature in general and Cosmo narration in particular.
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Choi, Daeseon, Younho Lee, Seokhyun Kim, and Pilsung Kang. "Private attribute inference from Facebook’s public text metadata: a case study of Korean users." Industrial Management & Data Systems 117, no. 8 (September 11, 2017): 1687–706. http://dx.doi.org/10.1108/imds-07-2016-0276.
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Purpose As the number of users on social network services (SNSs) continues to increase at a remarkable rate, privacy and security issues are consistently arising. Although users may not want to disclose their private attributes, these can be inferred from their public behavior on social media. In order to investigate the severity of the leakage of private information in this manner, the purpose of this paper is to present a method to infer undisclosed personal attributes of users based only on the data available on their public profiles on Facebook. Design/methodology/approach Facebook profile data consisting of 32 attributes were collected for 111,123 Korean users. Inferences were made for four private attributes (gender, age, marital status, and relationship status) based on five machine learning-based classification algorithms and three regression algorithms. Findings Experimental results showed that users’ gender can be inferred very accurately, whereas marital status and relationship status can be predicted more accurately with the authors’ algorithms than with a random model. Moreover, the average difference between the actual and predicted ages of users was only 0.5 years. The results show that some private attributes can be easily inferred from only a few pieces of user profile information, which can jeopardize personal information and may increase the risk to dignity. Research limitations/implications In this paper, the authors’ only utilized each user’s own profile data, especially text information. Since users in SNSs are directly or indirectly connected, inference performance can be improved if the profile data of the friends of a given user are additionally considered. Moreover, utilizing non-text profile information, such as profile images, can help increase inference accuracy. The authors’ can also provide a more generalized inference performance if a larger data set of Facebook users is available. Practical implications A private attribute leakage alarm system based on the inference model would be helpful for users not desirous of the disclosure of their private attributes on SNSs. SNS service providers can measure and monitor the risk of privacy leakage in their system to protect their users and optimize the target marketing based on the inferred information if users agree to use it. Originality/value This paper investigates whether private attributes of SNS users can be inferred with a few pieces of publicly available information although users are not willing to disclose them. The experimental results showed that gender, age, marital status, and relationship status, can be inferred by machine-learning algorithms. Based on these results, an early warning system was designed to help both service providers and users to protect the users’ privacy.
Dissertations / Theses on the topic "Facebook Infer"
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Harmim, Dominik. "Pokročilá statická analýza atomičnosti v paralelních programech v prostředí Facebook Infer." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445592.
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Nástroj Atomer je statický analyzátor založený na myšlence, že pokud jsou některé sekvence funkcí vícevláknového programu prováděny v některých bězích pod zámky, je pravděpodobně zamýšleno, že mají být vždy provedeny atomicky. Analyzátor Atomer se tudíž snaží takové sekvence hledat a poté zjišťovat, pro které z nich může být v některých jiných bězích programu porušena atomicita. Autor této diplomové práce ve své bakalářské práci navrhl a implementoval první verzi nástroje Atomer jako zásuvný modul aplikačního rámce Facebook Infer. V této diplomové práci je navržena nová a výrazně vylepšená verze analyzátoru Atomer. Cílem vylepšení je zvýšení jak škálovatelnosti, tak přesnosti. Kromě toho byla přidána podpora pro několik původně nepodporovaných programovacích vlastností (včetně např. možnosti analyzovat programy napsané v jazycích C++ a Java nebo podpory pro reentrantní zámky nebo stráže zámků, tzv. "lock guards"). Prostřednictvím řady experimentů (včetně experimentů s reálnými programy a reálnými chybami) se ukázalo, že nová verze nástroje Atomer je skutečně mnohem obecnější, přesnější a lépe škáluje.
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Vašíček, Ondřej. "Adaptér OSLC pro analýzu softwaru." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445498.
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Cílem této práce je poskytnout snadný způsob, jak rozšířit analyzační nástroj o rozhraní splňující standard OSLC. Takové rozhraní umožňuje jednoduchou integraci nástrojů s jinými nástroji nebo systémy, umožňuje jejich vzdálené použití skrze webové služby a umožňuje je jednoduše propojit s databází pro databázové dotazy a pro perzistentní uložení dat. Toto je dosaženo návrhem a implementací OSLC adaptéru pomocí sady nástrojů Eclipse Lyo. Adaptér používá jako rozhraní doménu OSLC Automation a je dostatečně univerzální na to, aby skrze toto rozhraní pokryl funkcionalitu většiny analyzačních nástrojů za pomocí jejich stávajících rozhraní na příkazové řádce. Tato práce poskytuje úvod k OSLC, Eclipse Lyo a souvisejícím konceptům. Dále tato práce definuje požadavky a odlišnosti různých analyzačních nástrojů a diskutuje návrh adaptéru a faktory, které ovlivnily návrhová rozhodnutí. A nakonec prezentuje implementovaný adaptér a jeho vyhodnocení pomocí automatizované testovací sady a pomocí experimentů s řadou analyzačních nástrojů. Nejvýznamnější ukazatel hodnocení vytvořeného adaptéru je to, že už teď je používán v praxi pro přidání OSLC rozhraní k nástrojům ANaConDA, Perun, Spectra (všechny tři vyvíjené na VeriFIT) a HiLiTE (Honeywell).
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Törnered, Kristina, and Kim Kindstedt. "Får politikerna tummen upp? : - en innehållsanalys av svenska politiska partiers användning av Facebook inför riksdagsvalet 2014." Thesis, Örebro universitet, Institutionen för humaniora, utbildnings- och samhällsvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-43144.
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Lee, Hung-Yu, and 李虹諭. "The Influence of Friendship on Continuance Intention in Facebook: The Mediating Role of Flow and Inter-personal Contextual Performance." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/14196930067766747584.
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碩士國立臺灣師範大學
科技應用與人力資源發展學系
100
With the development of information communication technology and internet, the means of communication between the people continue to change. The emergence of social networking sites has become the most popular social platform, Facebook especially. Since its inception in 2004, the number of users has risen significantly. The purpose of this study aimed to explore the impact of friendship on continuance intention in Facebook, and to verify whether the flow and inter-personal contextual performance play the mediating role between these two. It was completed in the form of questionnaire, through quantitative methods, and the research object was Facebook users. Then, the structural equation modeling (SEM) was conducted to identify the causal effect among the factors. The results were summarized as follows: (1) Friendship does have a positive influence on continuance intention in Facebook. (2) Friendship does have a positive influence on flow. (3) Friendship does have a positive influence on inter-personal contextual performance. (4) Flow does have a positive influence on inter-personal contextual performance. (5) Flow does have a positive influence on continuance intention in Facebook. (6) Inter-personal contextual performance does have a positive influence on continuance intention in Facebook. (7) Flow has a mediating effect on the relationship between friendship and continuance intention in Facebook. (8) Inter-personal contextual performance has a mediating effect on the relationship between friendship and continuance intention in Facebook. (9) Inter-personal contextual performance has a mediating effect on the relationship between flow and continuance intention in Facebook. Finally, according to the results of this study, it offers suggestions to managers and the relevant operators as a reference.
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Duncan, Robert David. "The role of online social networks in inter-firm collaborative innovation and problem solving." Thesis, 2011. http://hdl.handle.net/10500/6221.
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This study examined how online social networking (OSN) leads to increased communication and collaboration across inter-firm boundaries. This online social networking behaviour represents significant opportunities to firms in the form of improved problem-solving, increased collaborative innovation and enhanced engagement with stakeholders. There are also risks inherent in the widespread use of OSNs, such as the loss of control over information flows to individuals outside the organization, potential damage to the reputation of brands and organizations, and loss of productivity due to excessive usage of OSNs during work hours. In particular, this study sought to test four research propositions, specifically, that usage of one particular OSN, LinkedIn (LI), results in: 1) an increased number of inter-firm connections; 2) an improved ability to communicate across inter-firm boundaries; 3) greater access to problem solving or innovation collaborators; 4) increased organizational problem solving or innovation ability. The study methodology involved both quantitative and qualitative research. The quantitative portion of the study involved survey research among over 500 LinkedIn (LI) users to determine changes they reported in various dimensions related to inter-firm relationship-forming, information-sharing and collaborative problem solving since using LI. The sampling approach was purposive and the sample frame consisted of the researcher’s own extended LI network, and an effort was also made to make the survey link available to all LI members through public posting in the site’s Q&A section. Though no individual or group was systematically excluded from the opportunity to take the survey, some limitations are inherent in the approach taken. The survey respondents were self-selecting, which makes it difficult to confirm that the sample is reflective of all LI users. Also, the use of the researcher’s own LI network as a key source of survey respondents may have biased the study toward more open networkers, since the researcher’s network was built up over time by practicing open networking behaviours. As a result, the sample may tend to under-represent more closed or restrictive networkers. Notwithstanding these limitations, no one particular group of respondents was excluded from the opportunity to take the survey, and the resulting data suggests that there were significant numbers of respondents who considered themselves closed networkers. Also, the spread of respondents by geographic area, occupation and age was found to resemble published statistics from LI on its user base, so it appears that the data is reasonably reflective of the LI user base, though this would be difficult to verify or measure. Qualitative research was also undertaken among senior managers at companies that have embraced the use of OSNs by staff to determine their experiences along similar dimensions. The findings from the quantitative survey showed that users of LI have experienced an increased number of social connections with individuals as a result of using LI, and that these connections are often with people in other organizations, including competitors and customers. Survey respondents also reported that they have been able to draw upon their LI networks in order to solve problems and be more innovative in their work. Analysis of the qualitative research yielded a list of suggested best practices that could be adopted by firms wishing to harness the collaborative power of OSNs. These suggested best practices have been grouped under the areas of strategy, listening, communication, guidelines, training, diffusion and measurement. Some suggested areas for future research included: the role of performance measurement and reward systems in managing OSN usage behaviour; the organizational risks of centralized versus decentralized control of messaging via OSNs; the role of training in the effective deployment of OSNs in an organizational context; and the organizational risk of increased connectedness with competitors resulting from OSN relationships.Business Management
D.B.L.
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Vlok, Milandre. "Pre-schoolers' agency through learning for well-being in inner-city early childhood centres : the role of the practitioners." Thesis, 2019. http://hdl.handle.net/10500/25837.
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This study explored the diverse ways in which practitioners' roles manifest to develop pre-schoolers’ agency through learning for well-being in inner-city early childhood centres (ICECCs). Findings served as the foundation for a training programme for practitioners to develop pre-schoolers’ agency in South Africa. Various factors that have an impact on the development of pre-schoolers’ agency and ways in which preschoolers express agency were further explored through using the tool of pedagogical documentation.
A conceptual framework was based on the Framework of Learning for Well-being, the Framework of Indigenous Well-being and the Reggio educational approach, which supports the notion that pre-schoolers can express themselves and influence their lifeworlds.
Myself, three practitioners and nine pre-schoolers participated in the study. I made use of participatory action research (PAR) to generate qualitative data. The various data collection tools used were: Conversations with pre-schoolers; semi-structured interviews with practitioners; focus group interviews between myself and the practitioners; observations of circle time discussions; practitioners' open-ended questionnaires and self-reflective notes on fake Facebook pages; notes in my selfreflective journal; and documentation of pre-schoolers' four art projects. A manual thematic analysis of the data was done and feedback obtained during final interviews.
Practitioners indicated the following insights into their practice during and upon completion of the research process: Discoveries of the capabilities of pre-schoolers to express agency; the need to ask more probing and open-ended questions; the importance of listening to pre-schoolers; an awareness of the diverse capabilities of preschoolers; and knowledge and understanding of the value of the tool of pedagogical documentation to make pre-schoolers' agency visible. Aspects that posed challenges were highlighted, such as lack of technology, time constraints, work load and concerns of parents over the academic performance of their children. Upon conclusion of the study the following recommendations were made: a new theme in the Curriculum and Assessment Policy Statements (CAPS); a module in Foundation Phase education on children's agency; a one-day workshop for practitioners to develop pre-schoolers'Psychology of Education
Ph.D. (Psychology)
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Schaffner, Sylvia Hanne Christa. "An exploratory study on how factors such as gender, age groups and race affect incidence and type of bullying in a private high school in Pretoria." Diss., 2010. http://hdl.handle.net/2263/28239.
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The purpose of the study was to investigate the frequency and type of bullying behaviours experienced in a Pretoria private high school in the past six months. The aim was to determine how factors such as gender, age and ethnicity influenced the frequency and type of bullying experienced. The different types of bullying behaviours were categorised into physical, indirect, verbal and cyber-bullying. A quantitative method was applied and a self-report questionnaire was administered to 367 learners ranging from ages 12 – 18 (Grade 8 to Grade 12). The results of the study indicated that indirect bullying (such as malicious gossip) was the highest form of bullying reported in the study and occurred equally throughout the grades. However a high amount of bullying in all categories was found in the grade 9 group. Females reported higher frequencies of indirect bullying than males but no differences were found with regards to gender and the other types of bullying. No differences were found between the ethnic groups and physical violence as well as cyber-bullying. Caucasians seem to experience higher frequencies in bullying behaviours when it came to indirect bullying compared to African and Asian learners. Indian learners were also more prone to experience indirect bullying than Asians. Caucasians were also more likely to experience verbal bullying than Asian learners. It was found that racial bullying might occur in the school but that it does so at a minimal level.Dissertation (MA)--University of Pretoria, 2010.
Psychology
unrestricted
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Stasko, Carly. "A Pedagogy of Holistic Media Literacy: Reflections on Culture Jamming as Transformative Learning and Healing." Thesis, 2009. http://hdl.handle.net/1807/18109.
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This qualitative study uses narrative inquiry (Connelly & Clandinin, 1988, 1990, 2001) and self-study to investigate ways to further understand and facilitate the integration of holistic philosophies of education with media literacy pedagogies. As founder and director of the Youth Media Literacy Project and a self-titled Imagitator (one who agitates imagination), I have spent over 10 years teaching media literacy in various high schools, universities, and community centres across North America. This study will focus on my own personal practical knowledge (Connelly & Clandinin, 1982) as a culture jammer, educator and cancer survivor to illustrate my original vision of a ‘holistic media literacy pedagogy’. This research reflects on the emergence and impact of holistic media literacy in my personal and professional life and also draws from relevant interdisciplinary literature to challenge and synthesize current insights and theories of media literacy, holistic education and culture jamming.
Book chapters on the topic "Facebook Infer"
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Abu-Shanab, Emad, and Heyam Al-Tarawneh. "The Influence of Social Networks on High School Students' Performance." In Student Engagement and Participation, 1276–84. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2584-4.ch064.
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Social networks are becoming an integral part of people's lives. Students are spending much time on social media and are considered the largest category that uses such application. This study tries to explore the influence of social media use, and especially Facebook, on high school students' performance. The study used the GPA of students in four courses and their responses regarding the use of social media. Statistical analysis is used to infer this relationship and its implications. Results indicated a support of this study aim and the relationship between the different dimensions of Facebook influence on students with respect to the time spent on the Internet and Facebook specifically. Conclusions and future work are stated at the end.
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Kant, Tanya. "Autoposting the Self into Existence." In Making it Personal, 121–57. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190905088.003.0005.
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This chapter shifts focus from personalizing processes that threaten an inner self to algorithmic personalization practices that have the power to (re)write the self. To do so, the chapter examines the “autoposting” activities of Facebook’s third-party apps: commercial applications such as Spotify that can automatically post Facebook status updates on the user’s behalf to that user’s Facebook News Feed. These apps are discursively framed by Facebook as tools that aid user self-expression—and yet the author’s findings reveal that autoposting apps can be better considered as actors capable of (re)writing users’ identity performance on Facebook—and beyond. Drawing on the accounts of Facebook users, the chapter argues that this form of personalization can bring the self into existence in ways that require fresh interrogations of cultural capital, data commodification, and online context collapse.
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Hansen, Derek L., Ben Shneiderman, Marc A. Smith, and Itai Himelboim. "Facebook: Public pages and inter-organizational networks." In Analyzing Social Media Networks with NodeXL, 179–86. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-817756-3.00012-1.
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Rathnayake, Chamil. "From Street Protests to Facebook Campaigns." In Civic Engagement and Politics, 1185–202. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7669-3.ch059.
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This study examines effects of political cynicism and efficacy on online political engagement of Sri Lankan undergraduates. A survey was conducted among 155 Sri Lankan undergraduates that support the views of the Inter-University Student Federation (IUSF), an evidently anti-government student movement that claims to be dedicated to protecting free education in the country. Initial analysis showed that respondents were highly cynical (mean: 4.49 on a 1 to 5 scale). The study hypothesized that both political cynicism and efficacy exert a positive impact on online political engagement of respondents. The study also tested the effects of two moderators (extent of Facebook use, and the year of study). Results showed that political cynicism exerts a positive impact (standardized coefficient:.274, p:.000) on online political engagement, and this effect is positively moderated by the extent of Facebook use (standardized coefficient:.261, p:.000). Results also showed that internal political efficacy is not a significant predictor of the dependent variable.
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Baya'a, Nimer, and Wajeeh Daher. "Facebook as an Educational Environment for Mathematics Learning." In The Social Classroom, 171–90. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4904-0.ch009.
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In this chapter, the authors describe four successful experiments in using social networking sites (Facebook and Edmodo) in mathematics teaching and learning, where this use depended on populating the sites with historical mathematicians and/or mathematical phenomena. They describe two models of using social networking sites in mathematics education, as well as the phases of working mathematically with students when implementing each model. The authors emphasize the use of social talk as the first step to involve students with the learning of mathematics, as well as moving to cultural talk as a bridge between the social talk and the mathematical discourse. The experience in the four experiments indicates that social networking sites invite student collaboration, as well as encourage their learning actions and interactions. Teacher's or moderator's sensitivity is a very important factor for the success of the experiment, especially when young students are involved. Other factors which influenced the success of students' learning in social networking sites were the features of the social networking site, the properties of the inter-disciplinary phenomenon or the mathematics produced by the historical mathematicians, the background of the learners, and the activities of the moderator.
Conference papers on the topic "Facebook Infer"
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"USING FACEBOOK ACTIVITY TO INFER SOCIAL TIES." In 2nd International Conference on Cloud Computing and Services Science. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003907803250333.
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