Relevant bibliographies by topics / Arabic social media

Academic literature on the topic 'Arabic social media'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Arabic social media"

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Alwakid, Ghadah, Taha Osman, Mahmoud El Haj, Saad Alanazi, Mamoona Humayun, and Najm Us Sama. "MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media." Applied Sciences 12, no. 8 (April 9, 2022): 3806. http://dx.doi.org/10.3390/app12083806.

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The semantically complicated Arabic natural vocabulary, and the shortage of available techniques and skills to capture Arabic emotions from text hinder Arabic sentiment analysis (ASA). Evaluating Arabic idioms that do not follow a conventional linguistic framework, such as contemporary standard Arabic (MSA), complicates an incredibly difficult procedure. Here, we define a novel lexical sentiment analysis approach for studying Arabic language tweets (TTs) from specialized digital media platforms. Many elements comprising emoji, intensifiers, negations, and other nonstandard expressions such as supplications, proverbs, and interjections are incorporated into the MULDASA algorithm to enhance the precision of opinion classifications. Root words in multidialectal sentiment LX are associated with emotions found in the content under study via a simple stemming procedure. Furthermore, a feature–sentiment correlation procedure is incorporated into the proposed technique to exclude viewpoints expressed that seem to be irrelevant to the area of concern. As part of our research into Saudi Arabian employability, we compiled a large sample of TTs in 6 different Arabic dialects. This research shows that this sentiment categorization method is useful, and that using all of the characteristics listed earlier improves the ability to accurately classify people’s feelings. The classification accuracy of the proposed algorithm improved from 83.84% to 89.80%. Our approach also outperformed two existing research projects that employed a lexical approach for the sentiment analysis of Saudi dialects.
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Alnaeb, Jamal, Issam Salman, and Mohamad Bassam Kurdy. "Arabic Semantic Classifier of Arabic Social Media "Twitter" Users." Asian Journal of Information Technology 18, no. 1 (October 5, 2019): 20–27. http://dx.doi.org/10.36478/ajit.2019.20.27.

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Albantani, Azkia Muharom. "Social Media as Alternative Media for Arabic Teaching in Digital Era." ALSINATUNA 4, no. 2 (June 25, 2019): 148. http://dx.doi.org/10.28918/alsinatuna.v4i2.2043.

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The article aims to reveal the role of electronic social media such as youtube, instagram, and facebook as alternative media for Arabic teaching. The article employed a qualitative method through literature approach revealing phenomenon that are developing in the Arabic teaching. It is true that the three social media are alternative media that can be used by teachers in teaching Arabic. Students of elementary to secondary school, further students of college commonly use the three social media. The use of social media in the learning process is very likely may improve students’ motivation and interest. In addition, Arabic teaching will of course not bordered by space since it can be conducted anywhere
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Hegazi, Mohamed Osman, Yasser Al-Dossari, Abdullah Al-Yahy, Abdulaziz Al-Sumari, and Anwer Hilal. "Preprocessing Arabic text on social media." Heliyon 7, no. 2 (February 2021): e06191. http://dx.doi.org/10.1016/j.heliyon.2021.e06191.

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zayed, manal, hamdi mousa, and Mohamed Elmenshawy. "Sentiment Analysis for Arabic Social Media." IJCI. International Journal of Computers and Information 7, no. 1 (October 15, 2020): 14–31. http://dx.doi.org/10.21608/ijci.2020.16170.1004.

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Mallek, Fatma, Billal Belainine, and Fatiha Sadat. "Arabic Social Media Analysis and Translation." Procedia Computer Science 117 (2017): 298–303. http://dx.doi.org/10.1016/j.procs.2017.10.121.

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Hathlian, Nourah F. Bin, and Alaaeldin M. Hafez. "Subjective Text Mining for Arabic Social Media." International Journal on Semantic Web and Information Systems 13, no. 2 (April 2017): 1–13. http://dx.doi.org/10.4018/ijswis.2017040101.

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The need for designing Arabic text mining systems for the use on social media posts is increasingly becoming a significant and attractive research area. It serves and enhances the knowledge needed in various domains. The main focus of this paper is to propose a novel framework combining sentiment analysis with subjective analysis on Arabic social media posts to determine whether people are interested or not interested in a defined subject. For those purposes, text classification methods—including preprocessing and machine learning mechanisms—are applied. Essentially, the performance of the framework is tested using Twitter as a data source, where possible volunteers on a certain subject are identified based on their posted tweets along with their subject-related information. Twitter is considered because of its popularity and its rich content from online microblogging services. The results obtained are very promising with an accuracy of 89%, thereby encouraging further research.
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Tartir, Samir, and Ibrahim Abdul-Nabi. "Semantic Sentiment Analysis in Arabic Social Media." Journal of King Saud University - Computer and Information Sciences 29, no. 2 (April 2017): 229–33. http://dx.doi.org/10.1016/j.jksuci.2016.11.011.

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Sari, Risna Rianti, and Albar Adetary Hasibuan. "Students’ Perception toward Social Media Assisted Language Learning (SMALL) for Arabic Learning." Izdihar : Journal of Arabic Language Teaching, Linguistics, and Literature 2, no. 2 (October 31, 2019): 101. http://dx.doi.org/10.22219/jiz.v2i2.9911.

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The aims of this research were to determine the perception of students of Arabic Language Department towards the use of social media in teaching Arabic language and determine social media often used by students to help in the process of teaching Arabic language. This study used social anthropology approach in qualitative research because this study focusses on student’s perceptions towads mobile as their assistant for learning Arabic. The subject of study are 32 Arabic language education students at the State Islamic University Maulana Malik Ibrahim Malang. The results of the study show that social media can be used as a tool for language learning Arabic, can improve students' skills, and help them better interact with lecturers and classmates.
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Kurniati, Depi. "Penggunaan Media Sosial dalam Pembelajaran Bahasa Arab dengan Model Blended Learning." Ta'limi | Journal of Arabic Education and Arabic Studies 1, no. 2 (August 20, 2022): 119–38. http://dx.doi.org/10.53038/tlmi.v1i2.32.

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Limited face-to-face meetings are a new phase in learning Arabic after the number of victims of COVID-19. The blended learning model that integrates face-to-face learning with online learning becomes a learning model that is applied in schools. To assist teachers in maximizing students' Arabic learning outcomes, the use of social media is the most recommended alternative media. The purpose of this article is to describe the use of social media in learning Arabic with a blended learning model and its advantages and disadvantages in learning. This article is included in qualitative research with the type of literature review that produces descriptive data regarding the use of social media in learning Arabic with a blended learning model. This study explains that various social media applications can be developed to learn Arabic. Social media encourages students' interest in learning Arabic through its refreshing display and features. Its easy and practical use makes learning can be done from anywhere and anytime so that the objectives of learning Arabic will be achieved.
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Dissertations / Theses on the topic "Arabic social media"

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Alhazmi, Samah. "Linking Arabic social media based on similarity and sentiment." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/linking-arabic-social-media-based-on-similarity-and-sentiment(04288028-707c-46f2-a028-8ee3066dfa89).html.

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A large proportion of World Wide Web (WWW) users treat it as a social medium, i.e. many of them use the WWW to express and communicate their opinions. Economic value or utility can be created if these utterances, reactions, or feedback are extracted from various social media platforms and their content analysed. Some of these benefits are related to e-commerce, marketing, product improvements, improving machine learning algorithms etc. Moreover, establishing links between different social media platforms, based on shared topics and content, could provide access to the comments of users of different platforms. However, studies to date have generally tackled the area of content extraction from each type of social media in isolation. There is a lack of research of some aspects of social media, namely, linking the references from a blog post, for example, to information related to the same issue on Twitter. In addition, while studies have been carried out on various languages, there has been little investigation into social media in the Arabic language. This thesis tackles opinion mining and sentiment analysis of Arabic language social media, particularly in blogs and Twitter. The thesis focuses on Arabic language technology blogs in order to identify the expressed sentiments and then to link an issue within a blog post to relevant tweets in Twitter. This was done by assessing the similarity of content and measuring the sentiments scores. In order to extract the required data, text-mining techniques were used to build up corpora of the raw blog data in Modern Standard Arabic (MSA) and to build tools and lexicons required for this research. The results obtained through this research contribute to the field of computer science by furthering the employment of text-mining techniques, thus improving the process of information retrieval and knowledge accumulation. Moreover, the study developed new approaches to working with Arabic opinion mining and the domain of sentiment analysis.
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Itani, Maher. "Sentiment analysis and resources for informal Arabic text on social media." Thesis, Sheffield Hallam University, 2018. http://shura.shu.ac.uk/23402/.

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Online content posted by Arab users on social networks does not generally abide by the grammatical and spelling rules. These posts, or comments, are valuable because they contain users' opinions towards different objects such as products, policies, institutions, and people. These opinions constitute important material for commercial and governmental institutions. Commercial institutions can use these opinions to steer marketing campaigns, optimize their products and know the weaknesses and/ or strengths of their products. Governmental institutions can benefit from the social networks posts to detect public opinion before or after legislating a new policy or law and to learn about the main issues that concern citizens. However, the huge size of online data and its noisy nature can hinder manual extraction and classification of opinions present in online comments. Given the irregularity of dialectal Arabic (or informal Arabic), tools developed for formally correct Arabic are of limited use. This is specifically the case when employed in sentiment analysis (SA) where the target of the analysis is social media content. This research implemented a system that addresses this challenge. This work can be roughly divided into three blocks: building a corpus for SA and manually tagging it to check the performance of the constructed lexicon-based (LB) classifier; building a sentiment lexicon that consists of three different sets of patterns (negative, positive, and spam); and finally implementing a classifier that employs the lexicon to classify Facebook comments. In addition to providing resources for dialectal Arabic SA and classifying Facebook comments, this work categorises reasons behind incorrect classification, provides preliminary solutions for some of them with focus on negation, and uses regular expressions to detect the presence of lexemes. This work also illustrates how the constructed classifier works along with its different levels of reporting. Moreover, it compares the performance of the LB classifier against Naïve Bayes classifier and addresses how NLP tools such as POS tagging and Named Entity Recognition can be employed in SA. In addition, the work studies the performance of the implemented LB classifier and the developed sentiment lexicon when used to classify other corpora used in the literature, and the performance of lexicons used in the literature to classify the corpora constructed in this research. With minor changes, the classifier can be used in domain classification of documents (sports, science, news, etc.). The work ends with a discussion of research questions arising from the research reported.
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Alhaythami, Hassan Mohammed. "THE PSYCHOMETRIC PROPERTIES OF THE ARABIC VERSIONSOF THE SOCIAL NETWORKING TIME USE SCALE AND THE SOCIAL MEDIA AND ACADEMIC PERFORMANCE OF STUDENTS SCALE AMONG UNIVERSITY STUDENTS IN SAUDI ARABIA." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent158746740437348.

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Camuti, Alice, and Stacey J. Fisher. "Qualitative Analysis of Text Message Construction Practices in Native Speakers of Arabic." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etsu-works/4693.

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Khodier, Nesma Magdy VCUQ. "The Future of Arabic Music: No sound without silence." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4170.

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For centuries, Arabic music has been intrinsically linked to Arab culture and by extension bonded to the environmental landscape of the region, reflecting their emotions, moods, and behaviors. Numerous technological advancements in the latter half of the twentieth century, have greatly affected the rich legacy of Arabic music, significantly impacting the natural progression of traditional Arabic musical genres, scales, and instrumentation. This thesis serves as an introduction to generative methods of music production, specifically music generated through gestures. Through generative music, and its unique ability to map gestures to different musical parameters, music can be produced using computer algorithms. The outcome of this thesis aims to demystify the intricacies of recent technological advancements to enable the musician and the audience to incorporate responsive technology into their ensembles. This approach aims to further evolve Arabic music, using the concepts of Arabic music creativity while addressing international accessibility through integration. The intention of this thesis is to bridge between the contemporary and the traditional Arabic audiences and provides insight into a possible future of Arabic music based on its own fundamental principles.
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Abdel-Sattar, Nesrine M. A. K. "Innovation in Arabic online newsrooms : a comparative study of the social shaping of multimedia adoption in Aljazeera Net, Almassae and Almasry Alyoum in the context of the Arab Spring." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:a442328b-2288-4731-b140-2c3a6d0bd91b.

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This study focuses on the factors shaping innovation in online newsrooms in three nations of the Arab World, with particular interest in the adoption of multimedia news innovations. Applying theoretical perspectives from the social shaping of technology and the diffusion of innovation literature, this study sought to identify the key factors shaping the innovation process. Field studies were based in three Arabic newsrooms: Aljazeera Net in Qatar, Almasry Alyoum in Egypt, and Almassae in Morocco. The case studies are grounded in two weeks of participant-observation field research within each online newsroom, along with over 100 in-depth interviews with those involved in the production of online news, and online archival reviews of the three news portals since their inception. Field research began with participant observation at Aljazeera in 2010, prior to the uprisings of the Arab Spring, and continued through early 2013. The political context of each newsroom during the field research became a major aspect of the innovation process of each case study. The thesis reinforces a wide range of social, economic, and organizational factors in the adoption and adaptation of multimedia technologies in the newsrooms studied, supporting earlier research on newsroom innovation across other regions of the world. For example, conceptions about ‘ideal’ industry multimedia models for the modern newsroom were important in each case. However, in the political context of events related to the Arab Spring, the overriding importance of the larger political context emerged in each case. The significance of this observation suggests that research on news organizations cannot take the political context for granted and should more explicitly embed it in discussion of the social shaping of innovation, even under more stable and liberal political conditions. There is a relative lack of systematic empirical research on Arabic newsrooms among studies of news innovation. Looking at the political context of emergent or weak democracies and their influence on modern multimedia newsrooms especially during crisis events, therefore, can contribute to the development of theory and research in Western democracies; and reintroduce politics into theories of innovation within modern newsrooms. This study suggests that future scholarship brings politics into the study of the social shaping of newsroom innovation without losing the many significant advances of existing research in more liberal democratic Western contexts of the multimedia newsroom.
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Alfaisal, Rafif. "Le média satellitaire dans le monde arabe : spécificités, métamorphoses et enjeux. Le cas de quatre chaînes influentes." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM5903.

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Dans ce travail, notre intérêt s'est porté sur la télévision satellitaire dans le monde arabe. Le champ médiatique arabe a connu d'importantes transformations notamment en ce qui concerne la télévision avec l'apparition de chaînes de télévision satellitaires.A fin de saisir les articulations qui existent entre la télévision satellitaire, et publique nous utilisons la méthode descriptive analytique, associée à une technique interprétative comparative qui nous permettra de comprendre et d'interpréter les résultats issus de l'analyse des contenus médiatiques émis par les quatre chaînes concernées dans ce travail. Cette méthode d'enquête par entretiens permettra une plus grande visibilité et une meilleure compréhension des représentations politiques que construisent les médias à travers les discours des médiateurs dans les domaines étudiés.Cette méthode d'enquête par entretiens permettra une plus grande visibilité et une meilleure compréhension des représentations politiques que construisent les médias à travers les discours des médiateurs dans les domaines étudiés
In this work, our interest is focused on satellite television as a tool for information and communication in the Arab world. The Arab media landscape has undergone major transformations in particular with regard to television with the advent of satellite TV channels. Our approach is multidisciplinary rather with references within rather information science and communication, and political science. The articulation of concepts within these two disciplines is needed to address the issue of this work regarding the role of satellite television in the creation of a public space in the Arab world.We use the analytical descriptive method, combined with a comparative interpretative technique that will allow us to understand and interpret the results from the analysis of media content delivered by the four chains involved in this work.This method of survey interviews allow greater visibility and a better understanding of political representations constructed by the media through speech mediators in the areas studied
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Almfleah, A. M. A. "Social media use by public relations departments in Saudi Arabia." Thesis, University of Salford, 2017. http://usir.salford.ac.uk/44777/.

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The aim of this research is to study and compare the use of social media by public relations departments in the Saudi Telecommunications Company (STC) and The Saudi Ministry of Commerce and Industry (Saudi MCI). An integration of cross-sectional and archival research designs was implemented using both secondary and primary data. Qualitative primary data was collected through face-to-face semi-structured interviews, with 12 purposively selected senior public relations and communications’ officials PR and communication practitioners working at STC (n= 7) and Saudi MCI (n= 5). Quantitative primary data was collected through web-administered surveys designed using Google survey Forms (N= 511) and whose links were placed in the STC (n= 262) and Saudi MCI (n= 249) with Facebook pages and Twitter handles. Quantitative data was analysed using SPSS version 21, after data preparation and arrangement in Microsoft Excel 2013 Interview and archival data were analysed using inductive content and thematic analysis, which led to the development of thematic maps. The findings showed that both STC and Saudi MCI use social media to publicise their activities through public information, lobby public support for their positions, enhance information quality and provide a question and answer platform for their publics. Findings show that both STC and Saudi MCI were ethical in their PR practices. The usage of Facebook and Twitter changed the way STC and MCI PR practitioners engage with their publics and stakeholders by easing contacts between the organisation and the public, allowing the public access to important information and enabling the public a voice in the engagement especially through criticising the organisation. The findings also showed that the private and public organisations in Saudi Arabia exploit the social media affordances comprising visibility, editability, persistence, and association.
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Alhashem, Anwar M. "Social Media Use and Acceptance Among Health Educators in Saudi Arabia." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/dissertations/1017.

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More than half the population of Saudi Arabia has access to the Internet and social media, which are considered to be the fastest growing methods of communication in the region. The Saudi Ministry of Health encourages health-care providers, health professionals, and health organizations to accept and actively engage in using technology for improving health practices. Despite their increasing importance, there is little published literature on social media use and acceptance among health educators in Saudi Arabia. The purpose of the present study was to better understand the factors that determine the use and acceptance of social media. The theoretical framework consisted of the unified theory of acceptance and use of technology (UTAUT) as well as an extension to that theory. Through this lens, the study investigated how personal innovativeness in information technology and level of education may influence behavioral intention or use of social media among health educators in Saudi Arabia. A cross-sectional design was employed to determine the relationships among the specified factors. The participants included 320 health educators who filled out an online survey that had been constructed and validated in the literature. Findings indicated that performance expectancy, social influence, and personal innovativeness have a significant positive influence on behavioral intention. Facilitating conditions were negatively significant to user behavior. As anticipated, age and level of education were successfully shown to be a moderator. The study also discussed social media usage patterns among health educators in Saudi Arabia for personal and health-education purposes.
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Khalil, Joseph F. "Youth-Generated Media in Lebanon and Saudi Arabia." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/dissertations/146.

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Broadly defined as self-expressive media and communication artifacts, youth-generated media have become more ubiquitous as media-making tools became cheaper, smaller and more accessible. Moving beyond questions of media effects and consumption, this dissertation explores why and how street racing followers, graffiti artists, web activists, demonstration organizers and others are developing and circulating media artifacts in Lebanon and Saudi Arabia. What motivates them? What type of media are they developing? How do youth conceptualize, execute and distribute their media? What social, economic, cultural contexts are affecting these productions? And what are the implications of youth-generated media on Arab discourse? Drawing on six months of fieldwork, I use a multidisciplinary comparative approach to advance an underrated issue in global media studies. To meet this objective, the dissertation is organized in eight chapters. The first three chapters provide theoretical underpinnings and methodological considerations for an empirically based and theoretically inspired framework to study youth-generated media. Chapters four and five examine specific recent social movements in Lebanon (Independence 05 and July 06 War); while chapters six and seven analyze specific discourses related to Saudi youth leisure time (al-Faragh) and employment policies (Saudization). In their totality, these cases are not an exhaustive list but an illustrative representation of youth-generated media `pulsed' at a particular juncture in Arab youth history.
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Books on the topic "Arabic social media"

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Mind abuse: Media violence in an information age. Montreal: Black Rose Books, 2000.

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The world of obituaries: Gender across cultures and over time. Detroit: Wayne State University Press, 2002.

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Le donne nei media arabi: Tra aspettative tradite e nuove opportunità. Roma: Carocci editore, 2014.

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Real-time diplomacy: Politics and power in the social media era. New York: Palgrave Macmillan, 2012.

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Ṣūrat al-ʻArab fī al-iʻlām al-Gharbī: Al-ṣūrah al-dhihnīyah allatī rasamahā al-iʻlām al-Gharbī ʻan al-ʻArab wa-al-Muslimīn : ʻawāmil al-takwīn-- wasāʼil al-tarwīj-- imkānīyāt al-taghyīr. Dimashq: A. Khaḍḍūr, 2002.

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Ṣūrat al-ʻArab fī al-iʻlām al-Gharbī: Al-ṣūrah al-dhihnīyah allatī rasamahā al-iʻlām al-Gharbī ʻan al-ʻArab wa-al-Muslimīn : ʻawāmil al-takwīn-- wasāʾil al-tarwīj-- imkānīyāt al-taghyīr. Dimashq: A. Khaḍḍūr, 2002.

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Telhami, Shibley. Reflections of hearts and minds: Media, opinion, and identity in the Arab world. Washington, D.C: Brookings Institution, 2005.

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Bochen, Deng, and Xu Dacheng, eds. Yao yuan de mu ji zhe: Alabo zhi chun ji shi = Distant witness. Xinbei Shi Xindian Qu: Li xu wen hua shi ye you xian gong si, 2013.

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Ahmed, Abdallah Chanfi. West African ʻulamāʼ and Salafism in Mecca and Medina: Jawāb al-Ifrīqī-the response of the African. Boston: Brill, 2015.

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Media evolution on the eve of the Arab Spring. New York: Palgrave Macmillan, 2014.

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Book chapters on the topic "Arabic social media"

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alOwisheq, Areeb, Sarah alHumoud, Nora alTwairesh, and Tarfa alBuhairi. "Arabic Sentiment Analysis Resources: A Survey." In Social Computing and Social Media, 267–78. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39910-2_25.

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Alsaedi, Nasser, and Pete Burnap. "Arabic Event Detection in Social Media." In Computational Linguistics and Intelligent Text Processing, 384–401. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18111-0_29.

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Refaee, Eshrag. "Sentiment Analysis for Micro-blogging Platforms in Arabic." In Social Computing and Social Media. Applications and Analytics, 275–94. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58562-8_22.

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Almuqren, Latifah, Arwa Alzammam, Shahad Alotaibi, Alexandra Cristea, and Sarah Alhumoud. "A Review on Corpus Annotation for Arabic Sentiment Analysis." In Social Computing and Social Media. Applications and Analytics, 215–25. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58562-8_17.

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Abdullah, Malak, and Mirsad Hadzikadic. "Sentiment Analysis on Arabic Tweets: Challenges to Dissecting the Language." In Social Computing and Social Media. Applications and Analytics, 191–202. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58562-8_15.

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Al Oudah, Abrar, Kholoud Al Bassam, Heba Kurdi, and Shiroq Al-Megren. "Wajeez: An Extractive Automatic Arabic Text Summarisation System." In Social Computing and Social Media. Design, Human Behavior and Analytics, 3–14. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21902-4_1.

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Algihab, Wajdan, Noura Alawwad, Anfal Aldawish, and Sarah AlHumoud. "Arabic Speech Recognition with Deep Learning: A Review." In Social Computing and Social Media. Design, Human Behavior and Analytics, 15–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21902-4_2.

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Boulouard, Zakaria, Mariya Ouaissa, and Mariyam Ouaissa. "Machine Learning for Hate Speech Detection in Arabic Social Media." In EAI/Springer Innovations in Communication and Computing, 147–62. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-77185-0_10.

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Alharbi, Abdullah I., and Mark Lee. "Combining Character and Word Embeddings for Affect in Arabic Informal Social Media Microblogs." In Natural Language Processing and Information Systems, 213–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51310-8_20.

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Azzi, Salma Abid, and Chiraz Ben Othmane Zribi. "From Machine Learning to Deep Learning for Detecting Abusive Messages in Arabic Social Media: Survey and Challenges." In Advances in Intelligent Systems and Computing, 411–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71187-0_38.

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Conference papers on the topic "Arabic social media"

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AlYami, Reem, and Rabeah AlZaidy. "Arabic Dialect Identification in Social Media." In 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS). IEEE, 2020. http://dx.doi.org/10.1109/iccais48893.2020.9096847.

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Hassan, Sabit, Hamdy Mubarak, Ahmed Abdelali, and Kareem Darwish. "ASAD: Arabic Social media Analytics and unDerstanding." In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.eacl-demos.14.

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Zirikly, Ayah, and Mona Diab. "Named Entity Recognition for Arabic Social Media." In Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/w15-1524.

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Mubarak, Hamdy, Kareem Darwish, and Walid Magdy. "Abusive Language Detection on Arabic Social Media." In Proceedings of the First Workshop on Abusive Language Online. Stroudsburg, PA, USA: Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/w17-3008.

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Alabbas, Waleed, Haider M. al-Khateeb, Ali Mansour, Gregory Epiphaniou, and Ingo Frommholz. "Classification of colloquial Arabic tweets in real-time to detect high-risk floods." In 2017 International Conference on Social Media, Wearable and Web Analytics (Social Media). IEEE, 2017. http://dx.doi.org/10.1109/socialmedia.2017.8057358.

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Sadat, Fatiha, Farnazeh Kazemi, and Atefeh Farzindar. "Automatic identification of arabic dialects in social media." In the first international workshop. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2632188.2632207.

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Rattrout, Amjad, and Ateeq Ateeq. "Sentiment Analysis on Arabic Content in Social Media." In ICFNDS '19: 3rd International Conference on Future Networks and Distributed Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3341325.3342024.

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Huang, Fei. "Improved Arabic Dialect Classification with Social Media Data." In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/d15-1254.

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Mouheb, Djedjiga, Rutana Ismail, Shaheen Al Qaraghuli, Zaher Al Aghbari, and Ibrahim Kamel. "Detection of Offensive Messages in Arabic Social Media Communications." In 2018 International Conference on Innovations in Information Technology (IIT). IEEE, 2018. http://dx.doi.org/10.1109/innovations.2018.8606030.

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Bin Hathlian, Nourah F., and Alaaeldin M. Hafezs. "Sentiment - subjective analysis framework for arabic social media posts." In 2016 4th Saudi International Conference on Information Technology (Big Data Analysis) (KACSTIT). IEEE, 2016. http://dx.doi.org/10.1109/kacstit.2016.7756073.

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Reports on the topic "Arabic social media"

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Hotsur, Oksana. SOCIAL NETWORKS AND BLOGS AS TOOLS PR-CAMPAIGN IMPLEMENTATIONS. Ivan Franko National University of Lviv, March 2021. http://dx.doi.org/10.30970/vjo.2021.50.11110.

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The article deals with the ways in which social networks and the blogosphere influence the formation and implementation of a PR campaign. Examples from the political sphere (election campaigns, initiatives), business (TV brands, traditional and online media) have revealed the opportunities that Facebook, Telegram, Twitter, YouTube and blogs promote in promoting advertising, ideas, campaigns, thoughts, or products. Author blogs created on special websites or online media may not be as much of a tool in PR as an additional tool on social media. It is noted that choosing a blog as the main tool of PR campaign has both positive and negative points. Social networks intervene in the sphere of human life, become a means of communication, promotion, branding. The effectiveness of social networks has been evidenced by such historically significant events as Brexit, the Arab Spring, and the Revolution of Dignity. Special attention was paid to the 2019 presidential election. Based on the analysis of individual PR campaigns, the reasons for successful and unsuccessful campaigns from the point of view of network communication, which provide unlimited multimedia and interactive tools for PR, are highlighted. In fact, these concepts significantly affect the effectiveness of the implementation of PR-campaign, its final effectiveness, which is determined by the achievement of goals. Attention is drawn to the culture of communication during the PR campaign, as well as the concepts of “trolls”, “trolling”, “bots”, “botoin industry”. The social communication component of these concepts is unconditional. Choosing a blog as the main tool of a marketing campaign has both positive and negative aspects. Only a person with great creative potential can run and create a blog. In addition, it takes a long time. In fact, these two points are losing compared to other internet marketing tools. Further research is interesting in two respects. First, a comparison of the dynamics of the effectiveness of PR-campaign tools in Ukraine in 2020 and in the past, in particular, at the dawn of state independence. Secondly, to investigate how/or the concept of PR-campaigns in social networks and blogs is constantly changing.
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Yatsymirska, Mariya. MODERN MEDIA TEXT: POLITICAL NARRATIVES, MEANINGS AND SENSES, EMOTIONAL MARKERS. Ivan Franko National University of Lviv, February 2022. http://dx.doi.org/10.30970/vjo.2022.51.11411.

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The article examines modern media texts in the field of political journalism; the role of information narratives and emotional markers in media doctrine is clarified; verbal expression of rational meanings in the articles of famous Ukrainian analysts is shown. Popular theories of emotions in the process of cognition are considered, their relationship with the author’s personality, reader psychology and gonzo journalism is shown. Since the media text, in contrast to the text, is a product of social communication, the main narrative is information with the intention of influencing public opinion. Media text implies the presence of the author as a creator of meanings. In addition, media texts have universal features: word, sound, visuality (stills, photos, videos). They are traditionally divided into radio, TV, newspaper and Internet texts. The concepts of multimedia and hypertext are related to online texts. Web combinations, especially in political journalism, have intensified the interactive branching of nonlinear texts that cannot be published in traditional media. The Internet as a medium has created the conditions for the exchange of ideas in the most emotional way. Hence Gonzo’s interest in journalism, which expresses impressions of certain events in words and epithets, regardless of their stylistic affiliation. There are many such examples on social media in connection with the events surrounding the Wagnerians, the Poroshenko case, Russia’s new aggression against Ukraine, and others. Thus, the study of new features of media text in the context of modern political narratives and emotional markers is important in media research. The article focuses review of etymology, origin and features of using lexemes “cмисл (meaning)” and “сенс (sense)” in linguistic practice of Ukrainians results in the development of meanings and functional stylistic coloring in the usage of these units. Lexemes “cмисл (meaning)” and “сенс (sense)” are used as synonyms, but there are specific fields of meanings where they cannot be interchanged: lexeme “сенс (sense)” should be used when it comes to reasonable grounds for something, lexeme “cмисл (meaning)” should be used when it comes to notion, concept, understanding. Modern political texts are most prominent in genres such as interviews with politicians, political commentaries, analytical articles by media experts and journalists, political reviews, political portraits, political talk shows, and conversations about recent events, accompanied by effective emotional narratives. Etymologically, the concept of “narrative” is associated with the Latin adjective “gnarus” – expert. Speakers, philosophers, and literary critics considered narrative an “example of the human mind.” In modern media texts it is not only “story”, “explanation”, “message techniques”, “chronological reproduction of events”, but first of all the semantic load and what subjective meanings the author voices; it is a process of logical presentation of arguments (narration). The highly professional narrator uses narration as a “method of organizing discourse” around facts and impressions, impresses with his political erudition, extraordinary intelligence and creativity. Some of the above theses are reflected in the following illustrations from the Ukrainian media: “Culture outside politics” – a pro-Russian narrative…” (MP Gabibullayeva); “The next will be Russia – in the post-Soviet space is the Arab Spring…” (journalist Vitaly Portnikov); “In Russia, only the collapse of Ukraine will be perceived as success” (Pavel Klimkin); “Our army is fighting, hiding from the leadership” (Yuri Butusov).
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Integrating family planning and reproductive health information into livelihood training programs for young people in Souhag [Arabic]. Population Council, 2021. http://dx.doi.org/10.31899/sbsr2021.1040.

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This infographic describes interventions conducted in Souhag, Egypt, aimed at increasing demand for private family planning health (FP/RH) services among young men and women (aged 18-35 years). In this intervention, male and female job seekers received five days of integrated FP/RH and livelihood training. Peer educators delivered the training, shared materials and social media platforms for more information, and gave participants the names of private doctors and pharmacists trained by the project. The infographic provides an overview of the interventions, perspectives from study participants, and lessons learned for integrating FP/RH into workers' health education programs.
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