ISO-690 (author-date, English)

ADAM, Silke, MAKHORTYKH, Mykola, MAIER, Michaela, AIGENSEER, Viktor, URMAN, Aleksandra, GIL LOPEZ, Teresa, CHRISTNER, Clara, DE LEÓN, Ernesto und ULLOA, Roberto, 2025. Improving the Quality of Individual-Level Web Tracking: Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution. Social Science Computer Review. 1 Oktober 2025. Vol. 43, no. 5, p. 1050-1070. DOI 10.1177/08944393241287793.

Elsevier - Harvard (with titles)

Adam, S., Makhortykh, M., Maier, M., Aigenseer, V., Urman, A., Gil Lopez, T., Christner, C., de León, E., Ulloa, R., 2025. Improving the Quality of Individual-Level Web Tracking: Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution. Social Science Computer Review 43, 1050-1070. https://doi.org/10.1177/08944393241287793

American Psychological Association 7th edition

Adam, S., Makhortykh, M., Maier, M., Aigenseer, V., Urman, A., Gil Lopez, T., Christner, C., de León, E., & Ulloa, R. (2025). Improving the Quality of Individual-Level Web Tracking: Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution. Social Science Computer Review, 43(5), 1050-1070. https://doi.org/10.1177/08944393241287793

Springer - Basic (author-date)

Adam S, Makhortykh M, Maier M, Aigenseer V, Urman A, Gil Lopez T, Christner C, de León E, Ulloa R (2025) Improving the Quality of Individual-Level Web Tracking: Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution.. Social Science Computer Review 43:1050-1070. https://doi.org/10.1177/08944393241287793

Juristische Zitierweise (Stüber) (Deutsch)

Adam, Silke/ Makhortykh, Mykola/ Maier, Michaela/ Aigenseer, Viktor/ Urman, Aleksandra/ Gil Lopez, Teresa/ Christner, Clara/ de León, Ernesto/ Ulloa, Roberto, Improving the Quality of Individual-Level Web Tracking: Challenges of Existing Approaches and Introduction of a New Content and Long-Tail Sensitive Academic Solution., Social Science Computer Review 2025, 1050-1070.

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