Session 1

Kick-Off

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🖥️ Session 01

Literature

with focus on advertising

• Franke, G. R., & Taylor, C. R. (2017). Public Perceptions of Billboards: A Meta-Analysis. Journal of Advertising, 46(3), 395–410. https://doi.org/10.1080/00913367.2017.1334248

• Nikulina, O., Van Riel, A. C. R., Lemmink, J. G. A. M., Grewal, D., & Wetzels, M. (2024). Narrate, Act, and Resonate to Tell a Visual Story: A Systematic Review of How Images Transport Viewers. Journal of Advertising, 53(4), 605–625. https://doi.org/10.1080/00913367.2024.2309921

• Wilson, R. T. (2023). Out-of-Home Advertising: A Systematic Review and Research Agenda. Journal of Advertising, 52(2), 279–299. https://doi.org/10.1080/00913367.2022.2064378

with focus on analysis

• Araujo, T., Lock, I., & Van De Velde, B. (2020). Automated Visual Content Analysis (AVCA) in Communication Research: A Protocol for Large Scale Image Classification with Pre-Trained Computer Vision Models. Communication Methods and Measures, 14(4), 239–265. https://doi.org/10.1080/19312458.2020.1810648

• Hoffmann, M., & Heft, A. (2020). “Here, There and Everywhere”: Classifying Location Information in Social Media Data - Possibilities and Limitations. Communication Methods and Measures, 14(3), 184–203. https://doi.org/10.1080/19312458.2019.1708282

• Lokmanoglu, A. D., & Walter, D. (2025). Topic modeling of video and image data: a visual semantic unsupervised approach. Communication Methods and Measures, 19(3), 232–279. https://doi.org/10.1080/19312458.2025.2549707

• Peng, Y., Lock, I., & Ali Salah, A. (2024). Automated Visual Analysis for the Study of Social Media Effects: Opportunities, Approaches, and Challenges. Communication Methods and Measures, 18(2), 163–185. https://doi.org/10.1080/19312458.2023.2277956

with focus on digital behavioral data

• Engel, U., Quan-Haase, A., Liu, S. X., & Lyberg, L. (2021). Digital trace data (1st ed., pp. 100–118). Routledge. https://www.taylorfrancis.com/books/9781003024583/chapters/10.4324/9781003024583-8

• Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019). Social data: Biases, methodological pitfalls, and ethical boundaries. Frontiers in Big Data, 2, 13. https://doi.org/10.3389/fdata.2019.00013

with focus on effects

• Alonso Dos Santos, M., Lobos, C., Muñoz, N., Romero, D., & Sanhueza, R. (2017). The Influence of Image Valence on the Attention Paid to Charity Advertising. Journal of Nonprofit & Public Sector Marketing, 29(3), 346–363. https://doi.org/10.1080/10495142.2017.1326355

• Barry, A. M. (2002). Perception and Visual Communication Theory. Journal of Visual Literacy, 22(1), 91–106. https://doi.org/10.1080/23796529.2002.11674583

• Bast, J., & Oschatz, C. (2025). Which Visuals Really Matter? Effects of (Counter) Stereotypical Visual Information on Candidate Evaluations. Communication Research, 00936502241309957. https://doi.org/10.1177/00936502241309957

• Boomgaarden, H., Boukes, M., & Iorgoveanu, A. (2016). Image versus text: How newspaper reports affect evaluations of political candidates. INTERNATIONAL JOURNAL OF COMMUNICATION, 10, 2529–2555.

• Casas, A., & Williams, N. W. (2019). Images that Matter: Online Protests and the Mobilizing Role of Pictures. Political Research Quarterly, 72(2), 360–375. https://doi.org/10.1177/1065912918786805

• Geise, S., Panke, D., & Heck, A. (2021). Still ImagesMoving People? How Media Images of Protest Issues and Movements Influence Participatory Intentions. The International Journal of Press/Politics, 26(1), 92–118. https://doi.org/10.1177/1940161220968534

• Krause, A., & Bucy, E. P. (2018). Interpreting Images of Fracking: How Visual Frames and Standing Attitudes Shape Perceptions of Environmental Risk and Economic Benefit. Environmental Communication, 12(3), 322–343. https://doi.org/10.1080/17524032.2017.1412996

• Powell, T. E., Boomgaarden, H. G., De Swert, K., & De Vreese, C. H. (2015). A Clearer Picture: The Contribution of Visuals and Text to Framing Effects: Visual Framing Effects. Journal of Communication, 65(6), 997–1017. https://doi.org/10.1111/jcom.12184

with focus on images

• Joo, J., & Steinert-Threlkeld, Z. C. (2022). Image as Data: Automated Content Analysis for Visual Presentations of Political Actors and Events. Computational Communication Research, 4(1). https://doi.org/10.5117/CCR2022.1.001.JOO

• Webb Williams, N. (2022). What Type of Data Are Images? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4012789

• Webb Williams, N., Casas, A., & Wilkerson, J. D. (2020). Images as data for social science research: An introduction to convolutional neural nets for image classification (1st ed.). Cambridge University Press. https://www.cambridge.org/core/product/identifier/9781108860741/type/element

with focus on survey methods

• Schnauber-Stockmann, A., & Karnowski, V. (2020). Mobile Devices as Tools for Media and Communication Research: A Scoping Review on Collecting Self-report Data in Repeated Measurement Designs. Communication Methods and Measures, 14(3), 145–164. https://doi.org/10/gks6zf

• Masur, P. K. (2019). Capturing situational dynamics: Strength and pitfalls of the experience sampling method (P. Müller, S. Geiß, T. K. Naab, & C. Peter, Eds.; Vol. 15). Herbert von Halem Verlag. https://osf.io/vx5ha

with focus on visual communication

• Geise, S. (2017). Theoretical Perspectives on Visual Political Communication Through Election Posters (C. Holtz-Bacha & B. Johansson, Eds.; pp. 13–31). Springer International Publishing. http://link.springer.com/10.1007/978-3-319-32498-2_2

with focus on visibility

• Stehle, H., Bock, A., Wilhelm, C., Springer, N., Mahrt, M., Lobinger, K., Linke, C., Engelmann, I., Detel, H., & Brantner, C. (2024). In/visibility in the digital age: A literature review from a communication studies perspective. International Journal of Communication, 18, 23.

other interesting sources

• Bodden, S., & Awcock, H. (2024). Stuck Up, Peeled Off, Covered Up, Shared and Scribbled Out: Doing Ordinary Politics with Political Stickers. GeoHumanities, 10(1), 131–149. https://doi.org/10.1080/2373566X.2024.2339848

• McCosker, A., Kamstra, P., De Cotta, T., Farmer, J., Shaw, F., Teh, Z., & Soltani Panah, A. (2021). Social media for social good? A thematic, spatial and visual analysis of humanitarian action on Instagram. Information, Communication & Society, 24(13), 1870–1890. https://doi.org/10.1080/1369118X.2020.1748089

• Michel, S., & Pappert, S. (2018). Wahlplakat-busting. Formen und funktionen einer (neuen) textmustermischung. Zeitschrift Für Angewandte Linguistik, 2018(68), 333. https://doi.org/doi:10.1515/zfal-2018-0002

• Reershemius, G. (2019). Lamppost networks: stickers as a genre in urban semiotic landscapes. Social Semiotics, 29(5), 622–644. https://doi.org/10.1080/10350330.2018.1504652

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