Journalism Research
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Journalism: As Seen in the Eyes of Current Journalism and Digital Media Students
Get PDFThe world of journalism is complex, multifaceted, and intricate. No consensus exists on the definition of journalism or its characteristics, skill set, and career choices. Differing perceptions stem from journalism’s shifts to new forms, practices, and ways of thought. The digital revolution has drastically transformed the understanding and definition of journalism. Journalists, journalism educators, and even social critics have all offered varying notions on the field. However, the students, a key element, are often neglected in this equation. This paper explores how students view journalism. The current generation is arguably highly equipped with digital media through regular practice, consumption, and exposure to digitization. Journalists-to-be are considered to be the future shareholders and may be the directors of the profession. The study focused on how journalism and digital media students specifically classified journalism characteristics, the educational background they found necessary for journalists, as well as their work aspirations. As journalism is evolving and, in particular, digital journalism is a key factor in the study, the student sample was limited to those registered in the Journalism and Digital Media department at Al Maaref University. Al Maaref University has been categorized as one of the first universities in Lebanon to include the term “digital media” in their journalism degree in hopes of reflecting the fast-changing industry. This study used a quantitative approach based on a survey questionnaire administered online to all students enrolled in the above-mentioned department. Findings showed that the majority of students considered the top characteristics of a journalist to include traditional journalism skills before any digital journalism skills. Students also expressed areas of study at times consistent with those skills and other times consistent with their career choices. Moreover, a majority of current journalism students aspire to work in front of the camera
SmartNews: An Automatic Approach for Event Detection on Media Platforms
Get PDFSocial Media Platforms (SMPs) are currently the leading media data sources in the world; billions of people’s electronic devices have adopted these SMPs for their use. The users ‘ accounts on these platforms generate massive amounts of data daily. Data have become an essential building block for many organizations of different domains. Recently, media organizations started using social media as a principal source to collect data, mainly news. Having recognized the importance of SMPs and data availability, media organizations are not using these data efficiently. Many media organizations still use and analyze internet data, especially from social media, manually, which leads to many disadvantages. This research proposes a more efficient and automated approach to collecting information from social media. Actually, this paper proposes an integrated framework that can extract data from multiple SMPs and merge them, store them, and finally allow media workers to extract fundamental data (events) automatically and smartly from social media. The proposed framework takes input from a query and finds the following information: top tweets, total likes and retweets on this query, user’s identity, sentiment analysis, and finally, the prediction component that can classify if a particular item has classified an event or not. An advantage of this approach is to help media leaders control and track their performance in the media sector and maintain popularity on the internet. The proposed system has been validated on real datasets collected from different data sources. Findings show that this proposed system has remarkable accuracy, precision, and recall results, after evaluating different machine learning algorithms
Tweeting television between innovation and normalization: How Lebanese television and audiences are making use of Twitter in political talk shows
Get PDFTraditional media have progressively integrated newer media practices, with the constant emergence of new digital technologies, without abandoning their former ones. The adoption of Twitter by TV channels and by other social actors during political talk shows is a case in point. This article aims to assess whether the hybridization of TV talk shows and Twitter has innovated or normalized existing patterns of communication. In the former case, by enabling more interaction between different actors and space for audience deliberation, or in the latter case, by reproducing a traditional one-way communication and a centralized network of information that remains controlled and oriented by the elite (journalists and politicians). The incorporation of older and emergent media logic has an impact on the construction and distribution of political information as well as on the power relationships between journalists, politicians, and TV audiences. Besides allowing political talk shows to expand their flow of information, and to promote their news online, hybridized practices have not only altered the way citizens consume and engage with political information but also how they counter-frame traditional political media content by producing new ones. The research methodology consists of descriptive, content, and network analyses of tweets collected from three Lebanese local TV political talk show “Sarelwa2et” (MTV), “Btefro’ aa Watan” (Al Jadeed), and “Vision 2030” (LBCI) between February and March 2022. Results revealed that TV talk shows are making use of Twitter as a top-down transmitter of information and resorting poorly to its interactive potential. Some newer media practices of Twitter, such as @mention and replies are being applied but only to interact with politicians and journalists, failing to engage with a larger array of voices and thus, leading to an elite-centric discourse within the network. Also, tweets are mostly used to inform audiences and promote TV programs. In addition, network analyses of talk shows via hashtags demonstrated the central and not monopolized role of politicians and journalists as influencers, bridges, and quick spreaders of information. Finally, content analysis of dual screeners’ tweets (n=6000) indicated very little space in a Habermasian public sphere. The total of subjective opinions, irony, and attack/insult tweets are still higher than the total of the introduction of new issues and counter-frames tweets
Žiemos olimpinės žaidynės Lietuvos interneto dienraščiuose
Get PDFThe Winter Olympics Games is the most important sports event which is reported in Lithuanian media. There are no researches which would show how Lithuanian sports journalists publicate news about Winter Games. The first task is to find out the concept of media, tthe functions and tasks of media, genres and titles of media texts. The second task is to discuss the Winter Olympics and sports media functions. The third task is to elucidate the models of agenda setting and framing theories. The fourth is to perform quantitative and qualitative analysis of content research. In order to implement the first, second and third tasks, an analytical descriptive method is used. In order to implement the fourth, the methods of quantitative and qualitative analysis of the content are used. The results of the research examining the relationship between agencies and authorial publications in the online news dailies Delfi.lt and Lrytas.lt published the most agency news. Sports journalists used the most used the interview genre – 116 times. It turned out that sports journalists mostly published news about Lithuanians competing in the Olympics, rather that foreign athletes. It became clear that sports journalists, when writing publications about Lithuanian athletes used expressive headlines at the Winter Olympics. Analyzing the tone of the presentation of expressive headlines, it became clear that mostly used the negative tone in their authorial publications about Lithuanian athletes.Straipsnis skirtas išanalizuoti, kaip didžiausi Lietuvos interneto naujienų dienraščiai pateikė pranešimus apie 2010 m. Sočio, 2014 m. Vankuverio ir 2018 m. Pjongčango žiemos olimpines žaidynes. Nagrinėjamos sporto žurnalistikos skiltyse 2010-2018 m. pateiktos publikacijos žiemos olimpinių žaidynių tema. Tyrimo duomenys rinkti 2021-aisiais. Tyrime naudoti 784 tekstai žiemos olimpinių žaidynių tema (379 publikacijos paskelbtos interneto naujienų dienraščio Delfi.lt, 405 – naujienų portalo Lrytas.lt sporto skiltyse).
Rezultatai parodė, kad Delfi.lt ir Lrytas.lt publikacijų apie 2010-2018 m. žiemos olimpines žaidynes šaltinis buvo agentūrų pranešimai ir daugiausia naudotas interviu žanras. Daugiausia publikuota tekstų apie Lietuvos, o ne užsienio sportininkus. Per visas trejas olimpines žaidynes Lrytas.lt publikavo daugiau autorinių publikacijų nei Delfi.lt. Tai galėjo lemti, kad Lrytas.lt visose trejose olimpinėse žaidynėse akreditavo dirbti savo žurnalistus. Sporto žurnalistai, rašydami publikacijas apie Lietuvos sportininkus naudojo ekspresyviąsias antraštes. Publikacijų antraštės apie šalies sportininkus nebuvo išsamios, neatskleidė jokios informacijos apie teksto turinį, jomis buvo manipuliuojama skaitytoju. Delfi.lt ir Lrytas.lt daugiausia naudojo neigiamą toną savo autorinėse publikacijose
Shifting from Individualism to Genericism: Personalization as a Conspiracy Theory
Get PDFWith severe mistrust around classical approaches to consciousness, this paper claims that arguments around the notion of “personalization” of media or messages are grounded on a misinterpretation. Based on the two presuppositions of respective differentiation of human beings and the power to make choices based on reasoning, these approaches have been the reference for many well-known scientific studies, mainly in the fields of media studies, economics, political sciences, and psychology. Despite refuting their results via meta-analyses, such theories have so far sought to maintain their position by resorting to conspiracy theories, the promotion of which, ironically, leads to the syndrome of skepticism, which supports its origins in a vicious circle. While these approaches have been ubiquitous in so-called cognitive priming, projection of mass movements and political abuses of the concepts such as misinformation or disinformation, the mainstream workouts in the fields including but not limited to Perception Management, Artificial Intelligence, and Machine Learning have significantly relied on both de-individualistic and irrational processes. This article aims to prove that the ontological claims about the centrality of individualism in the latest fields of all media and communication technological procedures are grounded in a conspiracy theory. Relying on the method of epistemological reasoning, this article attempts to prove that individualism and personalization in the field of the media industry are the principal tools of social control through the spread of skepticism, which takes advantage of the fictitious nature of the new media sphere for commercial and political purposes
Neįprastas žvilgsnis į istorinę monografiją. Analizė su dirbtinio intelekto (AI) įrankiais
Get PDFGoal and theses: The article aims to check the applicability of methods based on processing large sets of information in research in social sciences.
Conception/research methods: The dynamic development of new research methods based on the automated processing of large data sets using artificial intelligence (AI) means that they are used in an increasingly wide range of disciplines, going beyond the field of exact and natural sciences. Text mining was combined with available CLARIN web applications and keyword extraction and analysis strategy, a combination of the YAKE! written in Python with the VOSViewer program for the visualisation of bibliometric networks.
Results and conclusions: The study showed how automatic keyword extraction creates opportunities in social science research. The use of CLARIN and Google Pinpoint web tools in the analysis significantly facilitates working with a large body of texts and accelerates its analysis.
Cognitive value/originality: The study indicates new research methods that can contribute to the development of social sciences. The perspectives for the implementation of the ways of dealing with large data sets are presented in work in research on society, and conclusions regarding the development of digital social sciences are formulated.Straipsnio tikslas ir tezės: straipsniu siekiama patikrinti metodų, grįstų didelių informacijos rinkinių apdorojimu, pritaikomumą socialinių mokslų tyrimuose.
Koncepcija/tyrimo metodai: dinamiška naujų tyrimų metodų, grįstų automatizuotu didelių duomenų rinkinių apdorojimu naudojant dirbtinį intelektą (DI), plėtra reiškia, kad jie naudojami vis platesniuose disciplinų laukuose, peržengiant tiksliųjų ir gamtos mokslų sritis. Teksto gavyba buvo derinama su turimomis CLARIN žiniatinklio programomis ir raktinių žodžių ištraukimo bei analizės strategija, YAKE! parašyta Python kalba su VOSViewer programa, skirta bibliometriniams tinklams vizualizuoti
