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Kitle İhtiyaçlarının Kodunu Çözmek: Kullanıcı İhtiyaçları Modeli Üzerinden Türkiye'de Dijital Gazeteciliğinin Eleştirel Analizi

Year 2025, Issue: 43, 88 - 111, 25.12.2025

Sarphan Uzunoğlu

Abstract

Bu çalışma, Türkiye’deki dijital haber platformlarının kullanıcı ihtiyaçlarını nasıl karşıladığını ve bu ihtiyaçları nasıl ideolojik olarak yeniden biçimlendirdiğini incelemektedir. Kuramsal temel olarak, medya kurumlarının kullanıcı etkileşimini, platform mantığını ve metrik odaklı üretimi bir araya getiren Kullanıcı İhtiyaçları Modeli (User Needs Model - UNM) kullanılmaktadır. Ancak bu modelin izleyiciyi bireyci ve apolitik bir çerçevede ele alması, toplumsal ilişkileri (sınıf, cinsiyet, ırk) göz ardı etmesi önemli bir eleştiri noktasıdır. Araştırmada, dört farklı dijital haber platformundan seçilen 200 haberin nicel içerik analizi ve amaçlı örnekleme yoluyla seçilen 30 haberin söylem analizi yapılmıştır. Kodlama sürecinde yüksek düzeyde güvenilirlik sağlanmıştır (Cohen’s Kappa ≥ 0.81). Bulgular, özellikle “Bana Perspektif Sun” ve “Beni Bağla” gibi anlatı türlerinin tarihsel göndermeler ve duygusal çerçeveler aracılığıyla kullanıcı ihtiyaçlarını politik ve ideolojik kodlarla yeniden tanımladığını ortaya koymaktadır. Bu bağlamda UNM, yalnızca pratik bir sınıflandırma aracı değil; aynı zamanda hibrit medya sistemlerinde dijital haberciliğin demokratik potansiyelini ve editoryal tahayyülünü sorgulayan eleştirel bir çerçeve olarak yeniden konumlandırılmalıdır.

Keywords

Kullanıcı ihtiyaçları modeli başlık stratejileri Türkiye medya ortamı editoryal tahayyül dijital gazetecilik

References

  • Akser, M., & Baybars, B. (2022). Repressed media and illiberal politics in Turkey: the persistence of fear. Southeast European and Black Sea Studies, 23(1), 159–177. https://doi.org/10.1080/14683857.2022.2088647
  • Banjac, S. (2021). An Intersectional Approach to Exploring Audience Expectations of Journalism. Digital Journalism, 10(1), 128–147. https://doi.org/10.1080/21670811.2021.1973527
  • Banjac, S., Hanusch, F. (2022). A question of perspective: Exploring audiences’ views of journalistic boundaries. New Media & Society, 24(3), 705-723. https://doi.org/10.1177/1461444820963795
  • Batsell, J. (2015). Engaged journalism: Connecting with digitally empowered news audiences. Columbia University Press.
  • Blanchett Neheli, N. (2018). News by Numbers: The evolution of analytics in journalism. Digital Journalism, 6(8), 1041–1051. https://doi.org/10.1080/21670811.2018.1504626
  • Carlson, M. (2018). Confronting Measurable Journalism. Digital Journalism, 6(4), 406–417. https://doi.org/10.1080/21670811.2018.1445003
  • Coddington, M., Lewis, S. C., Belair-Gagnon, V. (2021). The Imagined Audience for News: Where Does a Journalist’s Perception of the Audience Come From? Journalism Studies, 22(8), 1028–1046. https://doi.org/10.1080/1461670X.2021.1914709
  • Costera Meijer, Irene. 2020. "Understanding the Audience Turn in Journalism: From Quality Discourse to Innovation Discourse as Anchoring Practices 1995–2020." Journalism Studies 21 (16): 2326–2342. https://doi.org/10.1080/1461670X.2020.1847681.
  • Costera Meijer, I. (2020). Understanding the Audience Turn in Journalism: From Quality Discourse to Innovation Discourse as Anchoring Practices 1995–2020. Journalism Studies, 21(16), 2326–2342. https://doi.org/10.1080/1461670X.2020.1847681
  • Costera Meijer, I., Bijleveld, H. P. (2016). Valuable Journalism: Measuring news quality from a user’s perspective. Journalism Studies, 17(7), 827–839. https://doi.org/10.1080/1461670X.2016.1175963
  • de Koning, A., Dodds, T., Vandendaele, A. (2024). Quantifying Community Interest: A Study on the Role of Audience Metrics in Hyperlocal Journalism. Journalism Studies, 26(1), 24–40. https://doi.org/10.1080/1461670X.2024.2412206
  • Dierickx, L., Lindén, C., (2023) “Journalism and Fact-Checking Technologies: Understanding User Needs”, communication +1 10(1). https://doi.org//cpo.1879
  • Drok, N., Hermans, L. (2015). Is there a future for slow journalism? The perspective of younger users. Journalism Practice, 10(4), 539–554. https://doi.org/10.1080/17512786.2015.1102604
  • Fisher, C., Flew, T., Park, S., Lee, J. Y., & Dulleck, U. (2020). Improving Trust in News: Audience Solutions. Journalism Practice, 15(10), 1497–1515. https://doi.org/10.1080/17512786.2020.1787859
  • Fürst, S. (2020). In the Service of Good Journalism and Audience Interests? How Audience Metrics Affect News Quality. Media and Communication, 8(3), 270-280. https://doi.org/10.17645/mac.v8i3.3228
  • George, C., Youm, K. H. (2022). Media freedom in Asia: challenges from below. Asian Journal of Communication, 32(3), 194–199. https://doi.org/10.1080/01292986.2022.2068915
  • Griffen, S. (2020). Hungary: a lesson in media control. British Journalism Review, 31(1), 57-62. https://doi.org/10.1177/0956474820910071
  • Harcup, T. (2015). Asking the Readers: Audience research into alternative journalism. Journalism Practice, 10(6), 680–696. https://doi.org/10.1080/17512786.2015.1054416
  • Heikkilä, H., Ahva, L. (2014). The Relevance of Journalism: Studying news audiences in a digital era. Journalism Practice, 9(1), 50–64. https://doi.org/10.1080/17512786.2014.928465
  • Lamot, K., & Paulussen, S. (2019). Six Uses of Analytics: Digital Editors’ Perceptions of Audience Analytics in the Newsroom. Journalism Practice, 14(3), 358–373. https://doi.org/10.1080/17512786.2019.1617043
  • Landis, J. R., Koch, G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310
  • Linden, T C-G. (2017). 'Algorithms for journalism : The future of news work', The Journal of Media Innovations, vol. 4, no. 1, pp. 60-76. https://doi.org/10.5617/jmi.v4i1.2420
  • Lombard, M., Snyder-Duch, J., & Bracken, C. C. (2002). Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability. Human Communication Research, 28(4), 587–604. https://doi.org/10.1111/j.1468-2958.2002.tb00826.x
  • Loosen, W., Schmidt, J. H. (2012). (RE-)DISCOVERING THE AUDIENCE: The relationship between journalism and audience in networked digital media. Information, Communication & Society, 15(6), 867–887. https://doi.org/10.1080/1369118X.2012.665467
  • Moyo, D., Mare, A., & Trust Matsilele. (2020). Analytics-Driven Journalism: Editorial metrics and the reconfiguration of online news production practices in African newsrooms. 104–120. https://doi.org/10.4324/9780429347108-7
  • Napoli, P. (2019). Social media and the public interest: Media regulation in the disinformation age. Columbia university press.
  • Nelson, J. L. (2019). The next media regime: The pursuit of ‘audience engagement’ in journalism. Journalism, 22(9), 2350-2367. https://doi.org/10.1177/1464884919862375
  • Riedl, A., Eberl, J.-M. (2020). Audience expectations of journalism: What’s politics got to do with it? Journalism, 23(8), 1682-1699. https://doi.org/10.1177/1464884920976422
  • Ruggiero, T. E. (2000). Uses and Gratifications Theory in the 21st Century. Mass Communication and Society, 3(1), 3–37. https://doi.org/10.1207/S15327825MCS0301_02
  • Shishkin, D. 2022. User Needs Model: Smartocto Playbook. Smartocto. https://smartocto.com/user-needs. Smartocto. 2022. User Needs Model: How It Works. https://userneeds.smartocto.com/.
  • Steensen, S., Ferrer-Conill, R., Peters, C. (2020). (Against a) Theory of Audience Engagement with News. Journalism Studies, 21(12), 1662–1680. https://doi.org/10.1080/1461670X.2020.1788414
  • Swart, E. K., Thijs M.J. Nielen, & Sikkema‐de, M. T. (2022). Does feedback targeting text comprehension trigger the use of reading strategies or changes in readers’ attitudes? A meta‐analysis. Journal of Research in Reading, 45(2), 171–188. https://doi.org/10.1111/1467-9817.12389
  • Tandoc, E. C., & Thomas, R. J. (2014). The Ethics of Web Analytics: Implications of using audience metrics in news construction. Digital Journalism, 3(2), 243–258. https://doi.org/10.1080/21670811.2014.909122
  • Thurman, N., Fletcher, R. (2017). Has Digital Distribution Rejuvenated Readership? Revisiting the age demographics of newspaper consumption. Journalism Studies, 20(4), 542–562. https://doi.org/10.1080/1461670X.2017.1397532
  • Tosuner, A. (2023). Narration of Financial Crisis in Turkish Media. Karadeniz Teknik Üniversitesi İletişim Araştırmaları Dergisi, 13(2), 117–148. https://doi.org/10.53495/e-kiad.1386452
  • Truyens, P., Picone, I. (2024). Does the audience welcome an audience-oriented journalism? Journalism, 25(4), 735-754. https://doi.org/10.1177/14648849231170063
  • Yesil, B. (2014). Press Censorship in Turkey: Networks of State Power, Commercial Pressures, and Self-Censorship. Communication, Culture & Critique, 7(2), 154–173. https://doi.org/10.1111/cccr.12049

Decoding Audience Needs: A Critical Analysis of Turkish Digital Journalism through the User Needs Model

Year 2025, Issue: 43, 88 - 111, 25.12.2025

Sarphan Uzunoğlu

Abstract

This study examines how digital news platforms in Turkey address and ideologically reconstruct user needs within a polarized media environment. It is grounded in the User Needs Model (UNM), which combines audience engagement, platform logic, and metric-driven journalism. However, the model's neglect of social structures—such as class, race, and gender—limits its critical capacity and treats audiences as atomized individuals. The study adopts a mixed-methods approach, combining a quantitative content analysis of 200 news items from four platforms with a discourse analysis of 30 purposively selected stories. The coding process showed high inter-coder reliability (Cohen’s Kappa ≥ 0.81). The findings reveal that narrative formats, most notably “Give Me Perspective” and “Connect Me” embed political and emotional cues through historical references and affective framing. In the Turkish context, user needs are not merely unmet but ideologically repurposed. Consequently, UNM should be reconsidered not only as a practical taxonomy but also as a critical lens to interrogate editorial logic and the democratic function of journalism in hybrid media systems.

Keywords

User needs model headline strategies Turkish media landscape editorial imagination digital journalism

References

  • Akser, M., & Baybars, B. (2022). Repressed media and illiberal politics in Turkey: the persistence of fear. Southeast European and Black Sea Studies, 23(1), 159–177. https://doi.org/10.1080/14683857.2022.2088647
  • Banjac, S. (2021). An Intersectional Approach to Exploring Audience Expectations of Journalism. Digital Journalism, 10(1), 128–147. https://doi.org/10.1080/21670811.2021.1973527
  • Banjac, S., Hanusch, F. (2022). A question of perspective: Exploring audiences’ views of journalistic boundaries. New Media & Society, 24(3), 705-723. https://doi.org/10.1177/1461444820963795
  • Batsell, J. (2015). Engaged journalism: Connecting with digitally empowered news audiences. Columbia University Press.
  • Blanchett Neheli, N. (2018). News by Numbers: The evolution of analytics in journalism. Digital Journalism, 6(8), 1041–1051. https://doi.org/10.1080/21670811.2018.1504626
  • Carlson, M. (2018). Confronting Measurable Journalism. Digital Journalism, 6(4), 406–417. https://doi.org/10.1080/21670811.2018.1445003
  • Coddington, M., Lewis, S. C., Belair-Gagnon, V. (2021). The Imagined Audience for News: Where Does a Journalist’s Perception of the Audience Come From? Journalism Studies, 22(8), 1028–1046. https://doi.org/10.1080/1461670X.2021.1914709
  • Costera Meijer, Irene. 2020. "Understanding the Audience Turn in Journalism: From Quality Discourse to Innovation Discourse as Anchoring Practices 1995–2020." Journalism Studies 21 (16): 2326–2342. https://doi.org/10.1080/1461670X.2020.1847681.
  • Costera Meijer, I. (2020). Understanding the Audience Turn in Journalism: From Quality Discourse to Innovation Discourse as Anchoring Practices 1995–2020. Journalism Studies, 21(16), 2326–2342. https://doi.org/10.1080/1461670X.2020.1847681
  • Costera Meijer, I., Bijleveld, H. P. (2016). Valuable Journalism: Measuring news quality from a user’s perspective. Journalism Studies, 17(7), 827–839. https://doi.org/10.1080/1461670X.2016.1175963
  • de Koning, A., Dodds, T., Vandendaele, A. (2024). Quantifying Community Interest: A Study on the Role of Audience Metrics in Hyperlocal Journalism. Journalism Studies, 26(1), 24–40. https://doi.org/10.1080/1461670X.2024.2412206
  • Dierickx, L., Lindén, C., (2023) “Journalism and Fact-Checking Technologies: Understanding User Needs”, communication +1 10(1). https://doi.org//cpo.1879
  • Drok, N., Hermans, L. (2015). Is there a future for slow journalism? The perspective of younger users. Journalism Practice, 10(4), 539–554. https://doi.org/10.1080/17512786.2015.1102604
  • Fisher, C., Flew, T., Park, S., Lee, J. Y., & Dulleck, U. (2020). Improving Trust in News: Audience Solutions. Journalism Practice, 15(10), 1497–1515. https://doi.org/10.1080/17512786.2020.1787859
  • Fürst, S. (2020). In the Service of Good Journalism and Audience Interests? How Audience Metrics Affect News Quality. Media and Communication, 8(3), 270-280. https://doi.org/10.17645/mac.v8i3.3228
  • George, C., Youm, K. H. (2022). Media freedom in Asia: challenges from below. Asian Journal of Communication, 32(3), 194–199. https://doi.org/10.1080/01292986.2022.2068915
  • Griffen, S. (2020). Hungary: a lesson in media control. British Journalism Review, 31(1), 57-62. https://doi.org/10.1177/0956474820910071
  • Harcup, T. (2015). Asking the Readers: Audience research into alternative journalism. Journalism Practice, 10(6), 680–696. https://doi.org/10.1080/17512786.2015.1054416
  • Heikkilä, H., Ahva, L. (2014). The Relevance of Journalism: Studying news audiences in a digital era. Journalism Practice, 9(1), 50–64. https://doi.org/10.1080/17512786.2014.928465
  • Lamot, K., & Paulussen, S. (2019). Six Uses of Analytics: Digital Editors’ Perceptions of Audience Analytics in the Newsroom. Journalism Practice, 14(3), 358–373. https://doi.org/10.1080/17512786.2019.1617043
  • Landis, J. R., Koch, G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310
  • Linden, T C-G. (2017). 'Algorithms for journalism : The future of news work', The Journal of Media Innovations, vol. 4, no. 1, pp. 60-76. https://doi.org/10.5617/jmi.v4i1.2420
  • Lombard, M., Snyder-Duch, J., & Bracken, C. C. (2002). Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability. Human Communication Research, 28(4), 587–604. https://doi.org/10.1111/j.1468-2958.2002.tb00826.x
  • Loosen, W., Schmidt, J. H. (2012). (RE-)DISCOVERING THE AUDIENCE: The relationship between journalism and audience in networked digital media. Information, Communication & Society, 15(6), 867–887. https://doi.org/10.1080/1369118X.2012.665467
  • Moyo, D., Mare, A., & Trust Matsilele. (2020). Analytics-Driven Journalism: Editorial metrics and the reconfiguration of online news production practices in African newsrooms. 104–120. https://doi.org/10.4324/9780429347108-7
  • Napoli, P. (2019). Social media and the public interest: Media regulation in the disinformation age. Columbia university press.
  • Nelson, J. L. (2019). The next media regime: The pursuit of ‘audience engagement’ in journalism. Journalism, 22(9), 2350-2367. https://doi.org/10.1177/1464884919862375
  • Riedl, A., Eberl, J.-M. (2020). Audience expectations of journalism: What’s politics got to do with it? Journalism, 23(8), 1682-1699. https://doi.org/10.1177/1464884920976422
  • Ruggiero, T. E. (2000). Uses and Gratifications Theory in the 21st Century. Mass Communication and Society, 3(1), 3–37. https://doi.org/10.1207/S15327825MCS0301_02
  • Shishkin, D. 2022. User Needs Model: Smartocto Playbook. Smartocto. https://smartocto.com/user-needs. Smartocto. 2022. User Needs Model: How It Works. https://userneeds.smartocto.com/.
  • Steensen, S., Ferrer-Conill, R., Peters, C. (2020). (Against a) Theory of Audience Engagement with News. Journalism Studies, 21(12), 1662–1680. https://doi.org/10.1080/1461670X.2020.1788414
  • Swart, E. K., Thijs M.J. Nielen, & Sikkema‐de, M. T. (2022). Does feedback targeting text comprehension trigger the use of reading strategies or changes in readers’ attitudes? A meta‐analysis. Journal of Research in Reading, 45(2), 171–188. https://doi.org/10.1111/1467-9817.12389
  • Tandoc, E. C., & Thomas, R. J. (2014). The Ethics of Web Analytics: Implications of using audience metrics in news construction. Digital Journalism, 3(2), 243–258. https://doi.org/10.1080/21670811.2014.909122
  • Thurman, N., Fletcher, R. (2017). Has Digital Distribution Rejuvenated Readership? Revisiting the age demographics of newspaper consumption. Journalism Studies, 20(4), 542–562. https://doi.org/10.1080/1461670X.2017.1397532
  • Tosuner, A. (2023). Narration of Financial Crisis in Turkish Media. Karadeniz Teknik Üniversitesi İletişim Araştırmaları Dergisi, 13(2), 117–148. https://doi.org/10.53495/e-kiad.1386452
  • Truyens, P., Picone, I. (2024). Does the audience welcome an audience-oriented journalism? Journalism, 25(4), 735-754. https://doi.org/10.1177/14648849231170063
  • Yesil, B. (2014). Press Censorship in Turkey: Networks of State Power, Commercial Pressures, and Self-Censorship. Communication, Culture & Critique, 7(2), 154–173. https://doi.org/10.1111/cccr.12049

Décoder les besoins du public : une analyse critique du journalisme numérique turc à travers le Modèle des Besoins des Utilisateurs

Year 2025, Issue: 43, 88 - 111, 25.12.2025

Sarphan Uzunoğlu

Abstract

Cette étude analyse comment les plateformes d’information numérique en Turquie répondent aux besoins des utilisateurs et les reconstruisent idéologiquement dans un paysage médiatique polarisé. Elle s’appuie sur le Modèle des Besoins des Utilisateurs (User Needs Model – UNM), qui articule l'engagement du public, les logiques des plateformes et le journalisme guidé par les métriques. Toutefois, ce modèle présente des limites critiques importantes en ignorant les dimensions sociales telles que la classe, le genre et la race, traitant ainsi les publics comme des entités isolées. Une méthodologie mixte a été adoptée: une analyse quantitative de contenu portant sur 200 articles issus de quatre plateformes, et une analyse de discours sur 30 articles sélectionnés de manière raisonnée. Le codage a montré une forte fiabilité inter-juges (Kappa de Cohen ≥ 0,81). Les résultats révèlent que les formats narratifs comme « Donne-moi du recul » et « Relie-moi » mobilisent des références historiques et des cadres émotionnels porteurs de signaux politiques. Dans le contexte turc, les besoins des utilisateurs ne sont pas seulement négligés, mais aussi reconfigurés idéologiquement. Le modèle UNM doit ainsi être reconsidéré comme un outil critique permettant d’interroger les logiques éditoriales et le rôle démocratique du journalisme au sein des systèmes médiatiques hybrides.

Keywords

Modèle des besoins des utilisateurs stratégies de titres environnement médiatique en Turquie imagination éditoriale journalisme numérique

References

  • Akser, M., & Baybars, B. (2022). Repressed media and illiberal politics in Turkey: the persistence of fear. Southeast European and Black Sea Studies, 23(1), 159–177. https://doi.org/10.1080/14683857.2022.2088647
  • Banjac, S. (2021). An Intersectional Approach to Exploring Audience Expectations of Journalism. Digital Journalism, 10(1), 128–147. https://doi.org/10.1080/21670811.2021.1973527
  • Banjac, S., Hanusch, F. (2022). A question of perspective: Exploring audiences’ views of journalistic boundaries. New Media & Society, 24(3), 705-723. https://doi.org/10.1177/1461444820963795
  • Batsell, J. (2015). Engaged journalism: Connecting with digitally empowered news audiences. Columbia University Press.
  • Blanchett Neheli, N. (2018). News by Numbers: The evolution of analytics in journalism. Digital Journalism, 6(8), 1041–1051. https://doi.org/10.1080/21670811.2018.1504626
  • Carlson, M. (2018). Confronting Measurable Journalism. Digital Journalism, 6(4), 406–417. https://doi.org/10.1080/21670811.2018.1445003
  • Coddington, M., Lewis, S. C., Belair-Gagnon, V. (2021). The Imagined Audience for News: Where Does a Journalist’s Perception of the Audience Come From? Journalism Studies, 22(8), 1028–1046. https://doi.org/10.1080/1461670X.2021.1914709
  • Costera Meijer, Irene. 2020. "Understanding the Audience Turn in Journalism: From Quality Discourse to Innovation Discourse as Anchoring Practices 1995–2020." Journalism Studies 21 (16): 2326–2342. https://doi.org/10.1080/1461670X.2020.1847681.
  • Costera Meijer, I. (2020). Understanding the Audience Turn in Journalism: From Quality Discourse to Innovation Discourse as Anchoring Practices 1995–2020. Journalism Studies, 21(16), 2326–2342. https://doi.org/10.1080/1461670X.2020.1847681
  • Costera Meijer, I., Bijleveld, H. P. (2016). Valuable Journalism: Measuring news quality from a user’s perspective. Journalism Studies, 17(7), 827–839. https://doi.org/10.1080/1461670X.2016.1175963
  • de Koning, A., Dodds, T., Vandendaele, A. (2024). Quantifying Community Interest: A Study on the Role of Audience Metrics in Hyperlocal Journalism. Journalism Studies, 26(1), 24–40. https://doi.org/10.1080/1461670X.2024.2412206
  • Dierickx, L., Lindén, C., (2023) “Journalism and Fact-Checking Technologies: Understanding User Needs”, communication +1 10(1). https://doi.org//cpo.1879
  • Drok, N., Hermans, L. (2015). Is there a future for slow journalism? The perspective of younger users. Journalism Practice, 10(4), 539–554. https://doi.org/10.1080/17512786.2015.1102604
  • Fisher, C., Flew, T., Park, S., Lee, J. Y., & Dulleck, U. (2020). Improving Trust in News: Audience Solutions. Journalism Practice, 15(10), 1497–1515. https://doi.org/10.1080/17512786.2020.1787859
  • Fürst, S. (2020). In the Service of Good Journalism and Audience Interests? How Audience Metrics Affect News Quality. Media and Communication, 8(3), 270-280. https://doi.org/10.17645/mac.v8i3.3228
  • George, C., Youm, K. H. (2022). Media freedom in Asia: challenges from below. Asian Journal of Communication, 32(3), 194–199. https://doi.org/10.1080/01292986.2022.2068915
  • Griffen, S. (2020). Hungary: a lesson in media control. British Journalism Review, 31(1), 57-62. https://doi.org/10.1177/0956474820910071
  • Harcup, T. (2015). Asking the Readers: Audience research into alternative journalism. Journalism Practice, 10(6), 680–696. https://doi.org/10.1080/17512786.2015.1054416
  • Heikkilä, H., Ahva, L. (2014). The Relevance of Journalism: Studying news audiences in a digital era. Journalism Practice, 9(1), 50–64. https://doi.org/10.1080/17512786.2014.928465
  • Lamot, K., & Paulussen, S. (2019). Six Uses of Analytics: Digital Editors’ Perceptions of Audience Analytics in the Newsroom. Journalism Practice, 14(3), 358–373. https://doi.org/10.1080/17512786.2019.1617043
  • Landis, J. R., Koch, G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310
  • Linden, T C-G. (2017). 'Algorithms for journalism : The future of news work', The Journal of Media Innovations, vol. 4, no. 1, pp. 60-76. https://doi.org/10.5617/jmi.v4i1.2420
  • Lombard, M., Snyder-Duch, J., & Bracken, C. C. (2002). Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability. Human Communication Research, 28(4), 587–604. https://doi.org/10.1111/j.1468-2958.2002.tb00826.x
  • Loosen, W., Schmidt, J. H. (2012). (RE-)DISCOVERING THE AUDIENCE: The relationship between journalism and audience in networked digital media. Information, Communication & Society, 15(6), 867–887. https://doi.org/10.1080/1369118X.2012.665467
  • Moyo, D., Mare, A., & Trust Matsilele. (2020). Analytics-Driven Journalism: Editorial metrics and the reconfiguration of online news production practices in African newsrooms. 104–120. https://doi.org/10.4324/9780429347108-7
  • Napoli, P. (2019). Social media and the public interest: Media regulation in the disinformation age. Columbia university press.
  • Nelson, J. L. (2019). The next media regime: The pursuit of ‘audience engagement’ in journalism. Journalism, 22(9), 2350-2367. https://doi.org/10.1177/1464884919862375
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There are 37 citations in total.

Details

Primary Language English
Subjects Media Studies, Journalism, Journalism Studies, Communication Studies
Journal Section Research Article
Authors

Sarphan Uzunoğlu 0000-0002-9736-1763

Submission Date July 4, 2025
Acceptance Date December 12, 2025
Publication Date December 25, 2025
Published in Issue Year 2025 Issue: 43

Cite

APA Uzunoğlu, S. (2025). Decoding Audience Needs: A Critical Analysis of Turkish Digital Journalism through the User Needs Model. Galatasaray Üniversitesi İletişim Dergisi(43), 88-111. https://doi.org/10.16878/gsuilet.1734923

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