Medyanın sınırsız insan ihtiyaçlarını gözeterek toplumu devamlı olarak irrasyonel tüketime yönlendirmesi sonucu küresel kaynak ve ihtiyaç dengesi bozulmuş, çevresel ve insani sorunlar gün yüzüne çıkmıştır. Çalışmada, sürdürülebilirlik, medya ve inovasyon ilişkisine yönelik yayınlanan makalelerin kavramsal, entelektüel ve sosyal yapılarını ortaya koymak amaçlanmıştır. Bu bağlamda 2002-2023 yılları arasında Web of Science veri tabanında bulunan ve başlığında “sürdürülebilirlik” “medya” “yeni medya” ve “inovasyon” kelimeleri yer alan 1329 makale bibliyometrik analize tabi tutulmuştur. Analiz sonucu 2017 yılından sonra konuyla ilgili yayınlanan makalelerin sayısında büyük bir artış görülmektedir. Çalışma konusuyla ilgili en çok makale “Çevre Bilimleri” kategorisinde yer almaktadır. Makalelerin çoğunluğu Çin Halk Cumhuriyeti'nde yayınlanmasına karşın en çok atıf alan ülke İngiltere'dir. "Sustainability" (Sürdürülebilirlik), hem en çok yayın yapılan dergi olarak hem de konuyla ilgili çalışmalarda en çok kullanılan kelime olarak öne çıkmıştır.

Phubbing, defined as the disruption of social relationships and interactions due to excessive cell phone use, is becoming an increasing concern in modern society. Since one of the primary motivations for cell phone use is internet access, it is crucial to assess the time that individuals spend online to measure the prevalence of phubbing as a social behaviour disorder. This study aimed to better understand and evaluate the phubbing phenomenon by predicting future trends in internet usage using machine learning techniques. Four machine learning models—an artificial neural network (ANN), support vector regression (SVR), random forest (RF) regression, and time series—were employed to predict the average internet usage. Data from 2014 to 2024 were obtained from the World Bank, and cross-validation was used to enhance the reliability and accuracy of the models. All four models were successful in predicting internet usage, with the ANN showing the highest accuracy, followed by SVR, RF, and the time series. According to the data, the average daily time spent online increased from 277 min in 2014 to 417 min in 2024. Projections based on these machine learning models estimate that this figure will rise to 507 min by 2030 and 603 min by 2035. These findings provide valuable insights into the potential risks of increased phubbing behaviours on social interactions and offer a foundation for the exploration of the long-term health implications of excessive internet use. Future research could further examine the effects of phubbing on mental health and develop strategies to mitigate this social behaviour disorder.

Immersive journalism is an innovative storytelling approach that aims to enable the audience to experience the event or situation in the news using virtual reality, unlike traditional news narration. In this study, the literature related to the subject was searched using the keywords Immersive Journalism, 360-Degree Video, Narrative journalism, Newsgame, VR Storytelling through the Web of Science database and a data set was created from 955 publications between 1999 and 2023. No filter was applied to the studies in the data set of the study and articles, books, and early access publications as well as book chapters, editorial materials or conference proceedings in the Web of Science database were included in the study. Bibliometric analysis techniques were applied to the obtained data set and the collaboration status and citation maps of authors and institutions were revealed together with various parameters including authors, institutions, keywords used, number of citations and distribution of publications according to countries.

Digital capitalism is often described either as a clean break with the past or as a continuation of older markets. This article takes a third position: digital capitalism is a reorganisation of capitalist accumulation around platforms, data, attention and digital labour, not a departure from capitalism’s basic logic. The study uses a critical narrative review approach, drawing on Marxian value theory and recent work on platforms, datafication and surveillance. It is anchored by a curated set of publicly reported indicators from institutional and market sources, used as context rather than as a causal test. These show a platform environment that reaches most of humanity, highly concentrated advertising and cloud markets, platform labour as a global phenomenon, and a supposedly weightless economy resting on dense physical infrastructure. The article traces four contradictions: the commodification of unpaid user activity, the material basis of immaterial production, the concentration of market power, and the gap between participation and algorithmic control. The contribution is conceptual. It shows that media business models usually treated as separate, including advertising, subscriptions, creator monetisation, in-game spending and platform commissions, share one logic: user activity is captured as attention, measured as data and converted into revenue. New media therefore function as economic infrastructures for value extraction.

International comparative studies show that adults’ data literacy is considerably lower than that of younger generations. Many older adults do not engage in continuing education and instead depend on journalists, functioning as knowledge brokers, to interpret and contextualize data. The news media have traditionally carried both an informative and educational function for their audiences. This article examines journalists’ own data literacy, given their potential to shape the public’s capacity to navigate data-rich environments. The study innovates by distinguishing data literacy as comprising numeracy, statistical literacy, and sociological data knowledge, and tests data literacy across various journalistic contexts. Drawing on a data literacy test conducted among journalists in Estonia and Turkey (respectively 10 and 20 interviews), the study identifies notable gaps in these three data literacy components. Whereas general math skills of journalists align with the numeracy level of the general population, knowledge of statistics and sociological data depends more on the particular educational contexts. The study reveals the necessity of additional data training for journalists to respond to the challenges facing in datafying societies. The study argues for targeted educational initiatives to strengthen data literacy among journalists and the wider population.

International and national statistics indicate that Turkey leads OECD countries in the prevalence of violence against women, alongside a rising trend in femicides. Recognizing that social media platforms do more than report events—they actively shape collective memory—this study reconceptualizes X (formerly Twitter) as a dynamic communication ecosystem. We analyze 30,613 original Turkish-language tweets posted between 7 November 2022 and 16 January 2023 using a mixed-methods pipeline: automated text mining for hashtag networks and engagement metrics, combined with a two-stage content and discourse analysis that preserves key platform affordances such as hashtags, mentions, emojis, and thread depth. Drawing on second-level agenda-setting theory, Bruns & Moe’s algorithmic amplification research, and Ferron & Massa’s digital memory framework, we identify three strategic communication phenomena: “Anger Flashpoints” (hashtag-driven outrage cascades), “Rights-Claiming Petitions” (mention-mediated appeals to institutions), and “Collective Resistance Debates” (thread-based deliberations). Our findings reveal that spikes in discourse align with rapid retweet cascades and trending-topic promotions; direct mentions function as crowd-sourced petitions for legal and policy change; and extended reply threads nurture sustained counter-narratives. These thematic clusters act as both emotional expressions and tactical communication tools, leveraging X’s algorithmic affordances to coordinate public outrage and embed discussions of femicide within social memory. By highlighting these communicative mechanisms, we demonstrate X’s dual role as both a mirror and driver of public sentiment, emphasizing its potential to influence policy debates and support advocacy against violence toward women.