Araştırma Makalesi
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Algoritmik Habercilik ve Tıklanma Ekonomisi: Medya Okuryazarlığı Perspektifinden Değerlendirme

Yıl 2025, Sayı: “MASS COMMUNICATION" SPECIAL ISSUE, 31 - 45

Öz

Dijital medya ortamında algoritmaların içerik akışını belirlemesiyle birlikte, haber üretimi ve sunumu da ciddi bir dönüşüm geçirmiştir. Bu çalışma, algoritmik habercilik ve tıklanma ekonomisi olgularını, medya okuryazarlığı perspektifiyle ele alan kuramsal çerçeveye dayalı eleştirel bir inceleme sunmaktadır. Günümüzde dijital haber platformları, kullanıcıların dikkatini çekmeye yönelik, çoğunlukla sansasyonel veya yönlendirici nitelikte içerikler üretmekte; bu içerikler, algoritmalar aracılığıyla daha görünür hâle gelmektedir. Böylece, haberin doğruluğu ve etik ilkeleri ikinci planda kalırken, ticari kaygılar ön plana çıkmaktadır. Bu yapının medya tüketicileri üzerindeki etkileri ise özellikle medya okuryazarlığı bağlamında değerlendirilmesi gereken önemli bir meseledir.
Çalışma, medya ekonomisi, dijital kapitalizm, kamuoyunun biçimlendirilmesi, algoritmik medya mantığı ve eleştirel medya kuramları temelinde yapılandırılmıştır. Yöntem olarak, alana ilişkin yapısal işleyişin ve kuramsal dinamiklerin incelenmesine dayalı betimsel ve eleştirel nitelikte bir yaklaşım benimsenmiştir. Bu çerçevede, haber platformlarının içerik üretim stratejileri, kullanıcıların algoritmalar tarafından şekillendirilen medya deneyimleri ve medya okuryazarlığı düzeylerinin bu ortamda nasıl anlam kazandığı tartışılmaktadır.
Araştırmanın temel amacı, dijital medya ortamındaki algoritmik yönlendirmelerin, habercilik pratikleri ve medya tüketimi üzerindeki etkilerini kuramsal düzeyde analiz ederek, medya okuryazarlığının bu yeni medya düzeninde nasıl konumlandığını ortaya koymaktır. Bu bağlamda çalışma, medya kullanıcılarının eleştirel düşünme becerilerinin geliştirilmesinin, demokratik bilgi akışı ve bilinçli medya tüketimi açısından taşıdığı önemi vurgulamaktadır.

Kaynakça

  • Adorno, T. W., & Horkheimer, M. (1944). Dialectic of enlightenment. Continuum.
  • Ali Adeeb, R., & Mirhoseini, M. (2023). The impact of affect on the perception of fake news on social media: A systematic review. Social Sciences, 12(12), Article 674. https://doi.org/10.3390/socsci12120674
  • Çatal, Ö., & Akkor, E. (2023). The clicking economics of media and shifts in news content: The case of North Cyprus online media. Media Literacy and Academic Research, 2, 139–156.
  • Choi, J., Lee, S. Y., & Ji, S. W. (2021). Engagement in emotional news on social media: Intensity and type of emotions. Journalism & Mass Communication Quarterly, 24(4), 1017-1040.
  • Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
  • Cubbage, J. (Ed.). (2022). Critical race media literacy. Routledge.
  • Frontiers. (2025). The algorithmic trap: How social media monetization undermines investigative journalism in local media. Frontiers in Communication.
  • Fuchs, C. (2014). Digital labour and Karl Marx. Routledge.
  • Fuchs, C. (2017). Social media: A critical introduction (2nd ed.). SAGE Publications.
  • Fuchs, C. (2021). The digital commons and the digital public sphere: How to advance digital democracy today. Westminster Papers in Communication and Culture, 16(1), 9–26. https://doi.org/10.16997/wpcc.917
  • Gagrčin, E., Naab, T. K., & Grub, M. F. (2024). Algorithmic media use and algorithm literacy: An integrative literature review. New Media & Society.
  • Garajamirli, N. (2025). Algorithmic gatekeeping and democratic communication: Who decides what the public sees? European Journal of Communication and Media Studies, 4(3), 1-10. https://doi.org/10.24018/ejmedia
  • Gillespie, T. (2018). Custodians of the internet: Platforms, content moderation, and the hidden decisions that shape social media. Yale University Press. https://doi.org/10.12987/9780300235029
  • Gomez Galán, J. (2018). Media education as theoretical and practical paradigm for digital literacy: An interdisciplinary analysis. https://doi.org/10.48550/arXiv.1803.09001
  • Habermas, J. (1989). The structural transformation of the public sphere: An inquiry into a category of bourgeois society. MIT Press.
  • Helberger, N., Karppinen, K., & Bürger, T. (2019). Selling news to audiences: A qualitative inquiry into the emerging logics of algorithmic news personalization in European quality news media. Digital Journalism, 7 (8), 993–1012. https://doi.org/10.1080/21670811.2019.1623700
  • Hendriks Vettehen, P., & Kleemans, M. (2018). Proving the obvious? What sensationalism contributes to the time spent on news video. Mass Communication and Society, 12(2), 113–127. https://doi.org/10.1177/1931243117739947
  • Hödl, T., Myrach, T. Content Creators Between Platform Control and User Autonomy. Bus Inf Syst Eng 65, 497–519 (2023). https://doi.org/10.1007/s12599-023-00808-9
  • Hoechsmann, M., & Poyntz, S. (2012). Media literacies: A critical introduction. Polity. https://doi.org/10.1002/9781444344158
  • Kamalipour, Y. R., & Friedrichsen, M. (Eds.). (2017). Digital transformation in journalism and news media: Media management, media convergence and globalization. Springer.
  • Kim, Y., & Lee, H. (2021). Towards a sustainable news business: Understanding readers’ perceptions of algorithm generated news based on cultural conditioning. Sustainability, 13(7), 3728. https://doi.org/10.3390/su13073728
  • Küçükvardar, M. (2023). Tık odaklı habercilik çerçevesinde ekonomi haberlerinin incelenmesi. Türkiye İletişim Araştırmaları Dergisi, (42), 145–168. https://doi.org/10.17829/turcom.1194831
  • Makhortykh, N., de Vreese, C., Helberger, N., Harambam, J., & Bountouridis, D. (2021). We are what we click: Understanding time and content-based habits of online news readers. New Media & Society.
  • Molyneux, L., & Coddington, M. (2019). Aggregation, clickbait and their effect on perceptions of journalistic credibility and quality. Journalism Practice.
  • Noguera Vivo, J. M., & Grandío Pérez, M. del M. (2024). Enhancing algorithmic literacy: Experimental study on communication students’ awareness of algorithm driven news. Anàlisi: Quaderns de Comunicació i Cultura. https://doi.org/10.5565/rev/analisi.3718
  • Orujov, U., & Gulmammadov, R. (2025). Dijital dönemde haberciliğin yeniden yapılandırılması: Sosyal medya platformları üzerine inceleme. ASSAM Uluslararası Hakemli Dergi, (26), 12–28. https://doi.org/10.58724/assam.1627255
  • Özsalih, A. (2024). Sosyal medyadaki haberlerin başlıklarındaki duygusal kelimelerin haber tüketimine etkileri. Journal of Selçuk Communication, 17(1), 39–68. https://doi.org/10.18094/josc.1377241
  • Pasquale, F. (2016). The black box society: The secret algorithms that control money and information. Harvard University Press.
  • Potter, W. J. (2004). Theory of media literacy: A cognitive approach. SAGE Publications. https://doi.org/10.4135/9781483328881
  • Rieder, B. (2022). Engines of order: A mechanology of algorithmic techniques. Amsterdam University Press. https://doi.org/10.1002/asi.24462
  • Srnicek, N. (2016). Platform capitalism. Polity Press.
  • Svensson, J. (2023). Logics, tensions and negotiations in the everyday life of a news ranking algorithm. Journal of Journalism Studies.
  • Swart, J. (2020). Tactics of algorithmic literacy: How young people understand and negotiate algorithmic news selection. AoIR Selected Papers of Internet Research, 2020. https://doi.org/10.5210/spir.v2020i0.11178
  • Vázquez Herrero, J., Direito Rebollal, S., Silva Rodríguez, A., & López-García, X. (2020). Journalistic metamorphosis: Media transformation in the digital age. Springer.
  • Viader Guerrero, J. (2024). Beyond the digital public sphere: Towards a political ontology of algorithmic technologies. Philosophy & Technology, 37, Article 102. https://doi.org/10.1007/s13347-024-00789-x
  • Wölker, A., & Powell, T. E. (2021). Algorithms in the newsroom? News readers’ perceived credibility and selection of automated journalism. Journalism Studies. https://doi.org/10.1177/1464884918757072
  • Xu, Z., Laffidy, M., & Ellis, L. (2022). Clickbait for climate change: Comparing emotions in headlines and full texts and their engagement. Information, Communication & Society, 26(10), 1915–1932.
  • Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs. https://doi.org/10.1080/1369118X.2022.2050416

Algorithmic Journalism and the Click Economy: An Evaluation from a Media Literacy Perspective

Yıl 2025, Sayı: “MASS COMMUNICATION" SPECIAL ISSUE, 31 - 45

Öz

With the determination of content flow by algorithms in the digital media environment, news production and presentation have undergone a significant transformation. This study presents a theoretical framework-based critical examination of the phenomena of algorithmic journalism and the click economy from a media literacy perspective. Today, digital news platforms tend to produce content that is often sensational or manipulative in order to attract users' attention; such content becomes more visible through algorithms. As a result, the accuracy of the news and ethical principles are pushed into the background, while commercial concerns come to the fore. The effects of this structure on media consumers represent a crucial issue that needs to be evaluated particularly within the context of media literacy.
The study is structured around the concepts of media economy, digital capitalism, the shaping of public opinion, algorithmic media logic, and critical media theories. Methodologically, a descriptive and critical approach is adopted, based on the analysis of structural functioning and theoretical dynamics related to the field. Within this framework, the content production strategies of news platforms, the media experiences of users shaped by algorithms, and the way media literacy gains meaning in this environment are discussed.
The main aim of the research is to theoretically analyze the effects of algorithmic orientations in the digital media environment on journalism practices and media consumption, and to reveal how media literacy is positioned within this new media order. In this context, the study emphasizes the importance of developing media users' critical thinking skills in terms of democratic information flow and conscious media consumption.

Kaynakça

  • Adorno, T. W., & Horkheimer, M. (1944). Dialectic of enlightenment. Continuum.
  • Ali Adeeb, R., & Mirhoseini, M. (2023). The impact of affect on the perception of fake news on social media: A systematic review. Social Sciences, 12(12), Article 674. https://doi.org/10.3390/socsci12120674
  • Çatal, Ö., & Akkor, E. (2023). The clicking economics of media and shifts in news content: The case of North Cyprus online media. Media Literacy and Academic Research, 2, 139–156.
  • Choi, J., Lee, S. Y., & Ji, S. W. (2021). Engagement in emotional news on social media: Intensity and type of emotions. Journalism & Mass Communication Quarterly, 24(4), 1017-1040.
  • Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
  • Cubbage, J. (Ed.). (2022). Critical race media literacy. Routledge.
  • Frontiers. (2025). The algorithmic trap: How social media monetization undermines investigative journalism in local media. Frontiers in Communication.
  • Fuchs, C. (2014). Digital labour and Karl Marx. Routledge.
  • Fuchs, C. (2017). Social media: A critical introduction (2nd ed.). SAGE Publications.
  • Fuchs, C. (2021). The digital commons and the digital public sphere: How to advance digital democracy today. Westminster Papers in Communication and Culture, 16(1), 9–26. https://doi.org/10.16997/wpcc.917
  • Gagrčin, E., Naab, T. K., & Grub, M. F. (2024). Algorithmic media use and algorithm literacy: An integrative literature review. New Media & Society.
  • Garajamirli, N. (2025). Algorithmic gatekeeping and democratic communication: Who decides what the public sees? European Journal of Communication and Media Studies, 4(3), 1-10. https://doi.org/10.24018/ejmedia
  • Gillespie, T. (2018). Custodians of the internet: Platforms, content moderation, and the hidden decisions that shape social media. Yale University Press. https://doi.org/10.12987/9780300235029
  • Gomez Galán, J. (2018). Media education as theoretical and practical paradigm for digital literacy: An interdisciplinary analysis. https://doi.org/10.48550/arXiv.1803.09001
  • Habermas, J. (1989). The structural transformation of the public sphere: An inquiry into a category of bourgeois society. MIT Press.
  • Helberger, N., Karppinen, K., & Bürger, T. (2019). Selling news to audiences: A qualitative inquiry into the emerging logics of algorithmic news personalization in European quality news media. Digital Journalism, 7 (8), 993–1012. https://doi.org/10.1080/21670811.2019.1623700
  • Hendriks Vettehen, P., & Kleemans, M. (2018). Proving the obvious? What sensationalism contributes to the time spent on news video. Mass Communication and Society, 12(2), 113–127. https://doi.org/10.1177/1931243117739947
  • Hödl, T., Myrach, T. Content Creators Between Platform Control and User Autonomy. Bus Inf Syst Eng 65, 497–519 (2023). https://doi.org/10.1007/s12599-023-00808-9
  • Hoechsmann, M., & Poyntz, S. (2012). Media literacies: A critical introduction. Polity. https://doi.org/10.1002/9781444344158
  • Kamalipour, Y. R., & Friedrichsen, M. (Eds.). (2017). Digital transformation in journalism and news media: Media management, media convergence and globalization. Springer.
  • Kim, Y., & Lee, H. (2021). Towards a sustainable news business: Understanding readers’ perceptions of algorithm generated news based on cultural conditioning. Sustainability, 13(7), 3728. https://doi.org/10.3390/su13073728
  • Küçükvardar, M. (2023). Tık odaklı habercilik çerçevesinde ekonomi haberlerinin incelenmesi. Türkiye İletişim Araştırmaları Dergisi, (42), 145–168. https://doi.org/10.17829/turcom.1194831
  • Makhortykh, N., de Vreese, C., Helberger, N., Harambam, J., & Bountouridis, D. (2021). We are what we click: Understanding time and content-based habits of online news readers. New Media & Society.
  • Molyneux, L., & Coddington, M. (2019). Aggregation, clickbait and their effect on perceptions of journalistic credibility and quality. Journalism Practice.
  • Noguera Vivo, J. M., & Grandío Pérez, M. del M. (2024). Enhancing algorithmic literacy: Experimental study on communication students’ awareness of algorithm driven news. Anàlisi: Quaderns de Comunicació i Cultura. https://doi.org/10.5565/rev/analisi.3718
  • Orujov, U., & Gulmammadov, R. (2025). Dijital dönemde haberciliğin yeniden yapılandırılması: Sosyal medya platformları üzerine inceleme. ASSAM Uluslararası Hakemli Dergi, (26), 12–28. https://doi.org/10.58724/assam.1627255
  • Özsalih, A. (2024). Sosyal medyadaki haberlerin başlıklarındaki duygusal kelimelerin haber tüketimine etkileri. Journal of Selçuk Communication, 17(1), 39–68. https://doi.org/10.18094/josc.1377241
  • Pasquale, F. (2016). The black box society: The secret algorithms that control money and information. Harvard University Press.
  • Potter, W. J. (2004). Theory of media literacy: A cognitive approach. SAGE Publications. https://doi.org/10.4135/9781483328881
  • Rieder, B. (2022). Engines of order: A mechanology of algorithmic techniques. Amsterdam University Press. https://doi.org/10.1002/asi.24462
  • Srnicek, N. (2016). Platform capitalism. Polity Press.
  • Svensson, J. (2023). Logics, tensions and negotiations in the everyday life of a news ranking algorithm. Journal of Journalism Studies.
  • Swart, J. (2020). Tactics of algorithmic literacy: How young people understand and negotiate algorithmic news selection. AoIR Selected Papers of Internet Research, 2020. https://doi.org/10.5210/spir.v2020i0.11178
  • Vázquez Herrero, J., Direito Rebollal, S., Silva Rodríguez, A., & López-García, X. (2020). Journalistic metamorphosis: Media transformation in the digital age. Springer.
  • Viader Guerrero, J. (2024). Beyond the digital public sphere: Towards a political ontology of algorithmic technologies. Philosophy & Technology, 37, Article 102. https://doi.org/10.1007/s13347-024-00789-x
  • Wölker, A., & Powell, T. E. (2021). Algorithms in the newsroom? News readers’ perceived credibility and selection of automated journalism. Journalism Studies. https://doi.org/10.1177/1464884918757072
  • Xu, Z., Laffidy, M., & Ellis, L. (2022). Clickbait for climate change: Comparing emotions in headlines and full texts and their engagement. Information, Communication & Society, 26(10), 1915–1932.
  • Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs. https://doi.org/10.1080/1369118X.2022.2050416

Yıl 2025, Sayı: “MASS COMMUNICATION" SPECIAL ISSUE, 31 - 45

Öz

Kaynakça

  • Adorno, T. W., & Horkheimer, M. (1944). Dialectic of enlightenment. Continuum.
  • Ali Adeeb, R., & Mirhoseini, M. (2023). The impact of affect on the perception of fake news on social media: A systematic review. Social Sciences, 12(12), Article 674. https://doi.org/10.3390/socsci12120674
  • Çatal, Ö., & Akkor, E. (2023). The clicking economics of media and shifts in news content: The case of North Cyprus online media. Media Literacy and Academic Research, 2, 139–156.
  • Choi, J., Lee, S. Y., & Ji, S. W. (2021). Engagement in emotional news on social media: Intensity and type of emotions. Journalism & Mass Communication Quarterly, 24(4), 1017-1040.
  • Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
  • Cubbage, J. (Ed.). (2022). Critical race media literacy. Routledge.
  • Frontiers. (2025). The algorithmic trap: How social media monetization undermines investigative journalism in local media. Frontiers in Communication.
  • Fuchs, C. (2014). Digital labour and Karl Marx. Routledge.
  • Fuchs, C. (2017). Social media: A critical introduction (2nd ed.). SAGE Publications.
  • Fuchs, C. (2021). The digital commons and the digital public sphere: How to advance digital democracy today. Westminster Papers in Communication and Culture, 16(1), 9–26. https://doi.org/10.16997/wpcc.917
  • Gagrčin, E., Naab, T. K., & Grub, M. F. (2024). Algorithmic media use and algorithm literacy: An integrative literature review. New Media & Society.
  • Garajamirli, N. (2025). Algorithmic gatekeeping and democratic communication: Who decides what the public sees? European Journal of Communication and Media Studies, 4(3), 1-10. https://doi.org/10.24018/ejmedia
  • Gillespie, T. (2018). Custodians of the internet: Platforms, content moderation, and the hidden decisions that shape social media. Yale University Press. https://doi.org/10.12987/9780300235029
  • Gomez Galán, J. (2018). Media education as theoretical and practical paradigm for digital literacy: An interdisciplinary analysis. https://doi.org/10.48550/arXiv.1803.09001
  • Habermas, J. (1989). The structural transformation of the public sphere: An inquiry into a category of bourgeois society. MIT Press.
  • Helberger, N., Karppinen, K., & Bürger, T. (2019). Selling news to audiences: A qualitative inquiry into the emerging logics of algorithmic news personalization in European quality news media. Digital Journalism, 7 (8), 993–1012. https://doi.org/10.1080/21670811.2019.1623700
  • Hendriks Vettehen, P., & Kleemans, M. (2018). Proving the obvious? What sensationalism contributes to the time spent on news video. Mass Communication and Society, 12(2), 113–127. https://doi.org/10.1177/1931243117739947
  • Hödl, T., Myrach, T. Content Creators Between Platform Control and User Autonomy. Bus Inf Syst Eng 65, 497–519 (2023). https://doi.org/10.1007/s12599-023-00808-9
  • Hoechsmann, M., & Poyntz, S. (2012). Media literacies: A critical introduction. Polity. https://doi.org/10.1002/9781444344158
  • Kamalipour, Y. R., & Friedrichsen, M. (Eds.). (2017). Digital transformation in journalism and news media: Media management, media convergence and globalization. Springer.
  • Kim, Y., & Lee, H. (2021). Towards a sustainable news business: Understanding readers’ perceptions of algorithm generated news based on cultural conditioning. Sustainability, 13(7), 3728. https://doi.org/10.3390/su13073728
  • Küçükvardar, M. (2023). Tık odaklı habercilik çerçevesinde ekonomi haberlerinin incelenmesi. Türkiye İletişim Araştırmaları Dergisi, (42), 145–168. https://doi.org/10.17829/turcom.1194831
  • Makhortykh, N., de Vreese, C., Helberger, N., Harambam, J., & Bountouridis, D. (2021). We are what we click: Understanding time and content-based habits of online news readers. New Media & Society.
  • Molyneux, L., & Coddington, M. (2019). Aggregation, clickbait and their effect on perceptions of journalistic credibility and quality. Journalism Practice.
  • Noguera Vivo, J. M., & Grandío Pérez, M. del M. (2024). Enhancing algorithmic literacy: Experimental study on communication students’ awareness of algorithm driven news. Anàlisi: Quaderns de Comunicació i Cultura. https://doi.org/10.5565/rev/analisi.3718
  • Orujov, U., & Gulmammadov, R. (2025). Dijital dönemde haberciliğin yeniden yapılandırılması: Sosyal medya platformları üzerine inceleme. ASSAM Uluslararası Hakemli Dergi, (26), 12–28. https://doi.org/10.58724/assam.1627255
  • Özsalih, A. (2024). Sosyal medyadaki haberlerin başlıklarındaki duygusal kelimelerin haber tüketimine etkileri. Journal of Selçuk Communication, 17(1), 39–68. https://doi.org/10.18094/josc.1377241
  • Pasquale, F. (2016). The black box society: The secret algorithms that control money and information. Harvard University Press.
  • Potter, W. J. (2004). Theory of media literacy: A cognitive approach. SAGE Publications. https://doi.org/10.4135/9781483328881
  • Rieder, B. (2022). Engines of order: A mechanology of algorithmic techniques. Amsterdam University Press. https://doi.org/10.1002/asi.24462
  • Srnicek, N. (2016). Platform capitalism. Polity Press.
  • Svensson, J. (2023). Logics, tensions and negotiations in the everyday life of a news ranking algorithm. Journal of Journalism Studies.
  • Swart, J. (2020). Tactics of algorithmic literacy: How young people understand and negotiate algorithmic news selection. AoIR Selected Papers of Internet Research, 2020. https://doi.org/10.5210/spir.v2020i0.11178
  • Vázquez Herrero, J., Direito Rebollal, S., Silva Rodríguez, A., & López-García, X. (2020). Journalistic metamorphosis: Media transformation in the digital age. Springer.
  • Viader Guerrero, J. (2024). Beyond the digital public sphere: Towards a political ontology of algorithmic technologies. Philosophy & Technology, 37, Article 102. https://doi.org/10.1007/s13347-024-00789-x
  • Wölker, A., & Powell, T. E. (2021). Algorithms in the newsroom? News readers’ perceived credibility and selection of automated journalism. Journalism Studies. https://doi.org/10.1177/1464884918757072
  • Xu, Z., Laffidy, M., & Ellis, L. (2022). Clickbait for climate change: Comparing emotions in headlines and full texts and their engagement. Information, Communication & Society, 26(10), 1915–1932.
  • Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs. https://doi.org/10.1080/1369118X.2022.2050416
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Siyasal İletişim
Bölüm Araştırma Makalesi
Yazarlar

Güney Mahmudova 0009-0007-3554-4285

Mehriban Gadirova 0009-0004-1394-0795

Gönderilme Tarihi 30 Eylül 2025
Kabul Tarihi 19 Kasım 2025
Yayımlandığı Sayı Yıl 2025 Sayı: “MASS COMMUNICATION" SPECIAL ISSUE

Kaynak Göster

APA Mahmudova, G., & Gadirova, M. (t.y.). Algorithmic Journalism and the Click Economy: An Evaluation from a Media Literacy Perspective. ASSAM Uluslararası Hakemli Dergi(“MASS COMMUNICATION" SPECIAL ISSUE), 31-45. https://doi.org/10.58724/assam.1793978

 ASSAM-UHAD Nisan ve Kasım aylarında yayınlanan süreli ve elektronik basımı yapılan, uluslararası indeksli hakemli bir dergidir.