Publications

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Bechmann, A. & Lomborg, S. (2014). APIs as a method for data collection on social media. The Information Society, 30(4), 256-265. https://doi.org/10.1080/01972243.2014.915276

Bechmann, A. & Tranberg, C. B. (2012). Privacy policies nobody reads: informed consent in social networking sites. Abstract from Challenges to Danish Privacy Research, Skagen, Denmark.

Bechmann, A. & Waade, A. M. (2013). TripAdvisor: Empirical study of communicative functions of travel apps. Abstract from Methodologies of mobile communication and media research, Copenhagen, Denmark.

Bechmann, A. (2013). Doing Software Supported Facebook Analysis. Abstract from ICA's 63rd Annual Conference: Challenging Communication Research, London, United Kingdom.

Bechmann, A. (2013). Internet Profiling: The Economy of Data Intraoperability on Facebook and Google. MedieKultur, 29(55), 72-92.

Bechmann, A. (2013). Managing the interoperable self. Paper presented at Nordmedia2013, Oslo, Norway.

Bechmann, A. (2013). Social Media (non-)Informed Consent Cultures: Privacy Policies and App Contracts on Facebook. Paper presented at Nordmedia2013, Oslo, Norway.

Bechmann, A. (2013). When data becomes ubiquitous: Managing presence in the city of Facebook. Paper presented at PIT Summer School, Aarhus, Denmark. http://pit.au.dk/summerpit/schedule/

Bechmann, A. (2013). KEYNOTE: The Future of the Internet. Abstract from Internetdagen 2013, Copenhagen, Denmark. http://www.internetdagen.dk/

Bechmann, A. (2014). Non-Informed Consent Cultures: Privacy policies and app contracts on Facebook. Journal of Media Business Studies, 11(1), 21-38.

Bechmann, A. & Lomborg, S. (Eds.) (2014). The Ubiquitous Internet: User and Industry Perspectives. (1 ed.) Routledge. Routledge Studies in New Media and Cyberculture Vol. 25 https://doi.org/10.4324/9781315856667

Bechmann, A. (2014). Informed Consent and Decision-Making Processes. Paper presented at Annual International Communication Association Conference, Seattle, United States.

Bechmann, A. (2014). Ask my Data: When Databases Meet through Algorithms. Paper presented at Internet Research, Daegu, Korea, Republic of.

Bechmann, A. (2014). Data Everywhere: Hiding Information in Facebook Groups. Paper presented at IR 15, Daegu, Korea, Republic of.

Bechmann, A. & Lomborg, S. (2015). Conclusion. In A. Bechmann & S. Lomborg (Eds.), The Ubiquitous Internet : User and Industry Perspectives (pp. 165-168). Routledge.

Bechmann, A. (2015). Managing the Interoperable Self. In A. Bechmann & S. Lomborg (Eds.), The Ubiquitous Internet : User and Industry Perspectives (pp. 54-73). Routledge.

Bechmann, A. (2014). Measuring Impact across Social Media. Abstract from Big Data - Big Impacts, Aarhus, Denmark.

Bechmann, A. & Vahlstrup, P. B. (2015). Private Facebook data patterns in a broad national sample. Abstract from Eastern Sociological Society, New York, United States.

Bechmann, A. & Klausen, H. B. (2015). Measuring impact across social media. In Rethink Impacts Reports (Vol. 2, pp. 1-34). http://projects.au.dk/fileadmin/user_upload/8._Report_Anja_Bechmann_Helle_Breth_Klausen.pdf

Bechmann, A. & Vahlstrup, P. B. (2015). Studying Facebook and Instagram data: The Digital Footprints software. First Monday, 20(12). https://doi.org/10.5210/fm.v20i12.5968

Bechmann, A., Bilgrav-Nielsen, K., Korsgaard Jensen, A.-L. & Jensen, A.-L. (2016). Data as a revenue model: Sharewall as a payment method and editorial algorithm in the news industry. Nordicom Information, 38(1), 76-82. http://www.nordicom.gu.se/sites/default/files/kapitel-pdf/nordicom-information_38_2016_1_76-82.pdf

Bechmann, A. (2017). Keeping it Real: From Faces and Features to Social Values in Deep Learning Algorithms on Social Media Images. Proceedings of the Annual Hawaii International Conference on System Sciences, 50, 1793-1801. http://scholarspace.manoa.hawaii.edu/bitstream/10125/41372/1/paper0223.pdf

Bechmann, A., Kim, J. & Søgaard, A. (2016). What we use Facebook Groups for: A cross-national comparison of personal Facebook groups. Abstract from SMID - Sammenslutningen af Medieforskere i Danmark 2016, Middelfart, Denmark.

Bechmann, A. (2019). Data as humans: representation, accountability, and equality in big data. In R. F. Jørgensen (Ed.), Human rights in the age of platforms (pp. 73-94). MIT Press.

Bechmann, A. (2016). AoIR Early Career Scholars Workshop: preconference workshop. Abstract from IR 16, Berlin, Germany.

Bechmann, A. & Bowker, G. C. (2017). AI, discrimination and inequality in a 'post' classification era. Abstract from ICA 2017, San Diego, California, United States.

Bechmann, A. & Bowker, G. C. (2017). Whose Ontologies, at what Cost? AI and Invisibility in Social Media Arenas. Abstract from Propaganda and Media Manipulation, New York, United States.

Bechmann, A. & Nielbo, K. L. (2017). Are We Consuming the Same News? An Empirical Analysis of Information Similarity for Danish Facebook Users. Paper presented at Future of Journalism 2017, Cardiff, United Kingdom.

Bechmann, A. (2017). Whose vision? The Use of Convolutional Neural Networks on Facebook Images. Abstract from Social AI, Irvine, CA, United States.

Bechmann, A. (2017). Data as humans: a critical perspective on machine learning and big social data in societal decision-making. Abstract from Private Actors and Human Rights Online, Copenhagen, Denmark.

Bechmann, A. (2017). The Facebook newsfeed as a news source. Abstract from Nordmedia 2017, Tampere, Finland. http://www.uta.fi/cmt/en/Conferences/NordMedia2017/Downloads/TWG5_Abstracts.pdf

Bechmann, A. (2017). A Pragmatic Theory of Social AI. Abstract from Annual Meeting of the Society for Social Studies in Science (4S), Boston, Massachusetts, United States.

Bechmann, A. (2017). AI Biases. Abstract from AOIR 2017 Networked Publics, Tartu, Estonia.

Bechmann, A. (2017). The Invisible Shaping of Public Discourse in Online Spaces: Algorithms. Abstract from AOIR 2017 Networked Publics, Tartu, Estonia.

Bechmann, A. (2017). The Algorithmic Gaze: Predicting Uploader's Gender Based on Private Social Media Images. Paper presented at AOIR 2017 Networked Publics, Tartu, Estonia.

Bechmann, A. & Nielbo, K. L. (2018). Are We Exposed to the Same “News” in the News Feed? An empirical analysis of filter bubbles as information similarity for Danish Facebook users. Digital Journalism, 6(8), 990–1002. https://doi.org/10.1080/21670811.2018.1510741

Bechmann, A. & Bowker, G. C. (2019). Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media. Big Data & Society, 6(1). https://doi.org/10.1177/2053951718819569

Bechmann, A. & Kim, J. (2019). Big Data: A Focus on Social Media Research Dilemmas. In R. Iphofen (Ed.), Handbook of Research Ethics and Scientific Integrity Springer. https://link.springer.com/referenceworkentry/10.1007%2F978-3-319-76040-7_18-1

Bechmann, A. (2019). Inequality in Posting Behavior over Time: A Study of Danish Facebook Users. Nordicom Review, 40(1), 31-49. https://content.sciendo.com/view/journals/nor/40/s1/article-p31.xml

Bechmann, A. & O'Loughlin, B. (2020). Democracy & disinformation: a turn in the debate. Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten (KVAB). https://www.kvab.be/sites/default/rest/blobs/2557/Final%20Report%20Dem%20&%20Desinfo.pdf

Bechmann, A., Sandvik, K. & Zelano, K. (2019). Making sense of small and big data as onlife traces. Nordicom Review, 40(1), 3-9. https://doi.org/10.2478/nor-2019-0010.

Bechmann, A. & Zevenbergen, B. (2020). AI and Machine Learning: Internet Research Ethics Guidelines. In A. S. Franzke, A. Bechmann, M. Zimmer & C. M. Ess (Eds.), Internet Research: Ethical Guidelines 3.0 (pp. 33-49). AoIR (The International Association of Internet Researchers). https://aoir.org/reports/ethics3.pdf

Bechmann, A. (2020). Tackling Disinformation and Infodemics Demands Media Policy Changes. Digital Journalism, 8(6), 855-863. https://doi.org/10.1080/21670811.2020.1773887

Bechmann, A., Nielbo, K. L., Keller, T., Graham, T., Angus, D., Bruns, A., Nijmeijer, R., Neudard, L.-M., Marchal, N., bradshaw, S., Rossini, P., Stromer-Galley, J., Baptista, E. A. & Veiga de Oliveira, V. (2020). 'Coordinated inauthentic behaviour' and other online influence operations in social media spaces. In AoIR Selected Papers of Internet Research (Vol. 2020). AoIR (The International Association of Internet Researchers). http://10.5210/spir.v2020i0.11132

Bechmann, A. (2021). Data. Aarhus Universitetsforlag. Tænkepauser - viden til hverdagen Vol. 90

Bechmann, A., Brems, M., Olesen, M. K., Walter, J. G. & Wegmann, D. J. (2025). Data donation as a method for investigating trends and challenges in digital media landscapes at national scale: The Danish population’s use of YouTube as an illustrative case. Nordicom. https://doi.org/10.48335/9789189864184

Bechmann, A. (2009). Crossmedia: Innovationsnetværk for traditionelle medieorganisationer.

Bechmann, A. (2019). Inequality in posting behaviour over time: A study of Danish facebook users. Nordicom Review, 40(s1), 31-49. https://doi.org/10.2478/nor-2019-0012

Bech, C. W., Dalsgaard, C., Degn, H.-P., Gregersen, C. & Mathiasen, H. (2012). Perspektiver og tendenser. In H. mathiasen (Ed.), Undervisningsorganisering, -former og -medier på langs og tværs af fag og gymnaisale uddannelser: Hovedrapport 2012 (pp. 109-114). CUDIM, AU. http://uvm.dk/Uddannelser-og-dagtilbud/Gymnasiale-uddannelser/I-fokus-paa-omraadet-gymnasiale-uddannelser/~/media/UVM/Filer/Udd/Gym/PDF12/121127%20Hovedrapport%20AU%20itprojekt.ashx

Bech, C. W., Dalsgaard, C., Degn, H.-P., Gregersen, C. & Mathiasen, H. (2012). Undervisingsorganisering, -former og -medier på langs og tværs af fag og gymnasiale uddannelser: Overbliksrapport 2012. CUDIM, AU. http://tdm.au.dk/fileadmin/tdm/publikationer/Hovedrapport_AU_it-projekt.pdf

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