References
- Ananny, M. (2011, April 14). The curious connection between apps for gay men and sex offenders. The Atlantic. Retrieved from https://www.theatlantic.com/technology/archive/2011/04/the-curious-connection-between-apps-for-gay-men-and-sex-offenders/237340/
- Auxier, Brooke. (2019). 5 things to know about Americans and their smart speakers.
- Bucher, T. (2015). Neither black nor box: Ways of knowing algorithms. In S. Kubitschko, & A. Kaun (Eds.), Innovative methods in media and communication research. London: Palgrave Macmillan.
- Bucher, T. (2017). The algorithmic imaginary: Exploring the ordinary effects of Facebook algorithms. Information, Communication & Society, 20(1), 30–44. doi:10.1080/1369118X.2016.1154086.
- Choi, W., & Stvilia, B. (2015). Web credibility assessment: Conceptualization, operationalization, variability, and models. Journal of the Association for Information Science and Technology, 66(12), 2399–2414. doi:10.1002/asi.23543.
- Cohen, P. R., & Oviatt, S. L. (1995). The role of voice input for human-machine communication. Proceedings of the National Academy of Sciences, 92(22), 9921–9927. doi:10.1073/pnas.92.22.9921.
- DeVito, M. A., Birnholtz, J., Hancock, J. T., French, M., & Liu, S. (2018). How people form folk theories of social media feeds and what it means for how we study self-presentation. Proceedings of the 2018 CHI Conference, 1–12. doi:10.1145/3173574.3173694.
- DeVito, M. A., Gergle, D., & Birnholtz, J. (2017). “Algorithms ruin everything”: #RIPTwitter, folk theories, and resistance to algorithmic change in social media. Proceedings of the 2017 CHI Conference, 3163–3174. doi:10.1145/3025453.3025659.
- Diakopoulos, N. (2015). Algorithmic accountability. Digital Journalism, 3(3), 398–415. doi:10.1080/21670811.2014.976411.
- Eslami, M., Karahalios, K., Sandvig, C., Vaccaro, K., Rickman, A., Hamilton, K., & Kirlik, A. (2016). First, I “like” it, then i hide it: Folk theories of social feeds. Proceedings of the 2016 CHI Conference, 2371–2382. doi:10.1145/2858036.2858494.
- Eslami, M., Rickman, A., Vaccaro, K., Aleyasen, A., Vuong, A., Karahalios, K., … Sandvig, C. (2015). “I always assumed that i wasn’t really that close to [her]”: Reasoning about invisible algorithms in news feeds. Proceedings of the 2015 CHI Conference, 153–162. doi:10.1145/2702123.2702556.
- Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin’s Press.
- Eurostat. (2019). What do you use the internet for? Retrieved from European Commission website: https://ec.europa.eu/eurostat/web/products-eurostat-news/-/DDN-20190124-1
- Gillespie, T. (2012). The relevance of algorithms. In T. Gillespie, P. J. Boczkowski, & K. A. Foot (Eds.), Media technologies: Essays on communication, materiality, and society (pp. 167–194). London, England: The MIT Press.
- Hargittai, E. (2000). Open portals or closed gates? Channeling content on the world wide web. Poetics, 27(4), 233–254. doi: 10.1016/S0304-422X(00)00006-1
- Hargittai, E., & Hsieh, Y. P. (2012). Succinct survey measures of Web-use skills. Social Science Computer Review, 30(1), 95–107. doi:10.1177/0894439310397146.
- Hargittai, E., & Micheli, M. (2019). Internet skills and why they matter. In M. Graham, & W. H. Dutton (Eds.), Society and the internet. How networks of information and communication are changing our lives (2nd ed., pp. 109–126). Oxford: Oxford University Press.
- Hargittai, E., & Shafer, S. (2006). Differences in actual and perceived online skills: The role of gender*. Social Science Quarterly, 87(2), 432–448. doi:10.1111/j.1540-6237.2006.00389.x.
- Hargittai, Eszter, & Shaw, Aaron. (2020). Comparing internet experiences and prosociality in amazon mechanical turk and population-based survey samples. Socius: Sociological Research for a Dynamic World, 6, 237802311988983. doi:10.1177/2378023119889834
- Introna, L. D., & Nissenbaum, H. (2000). Shaping the Web: Why the politics of search engines matters. The Information Society, 16(3), 169–185. doi:10.1080/01972240050133634.
- Just, N., & Latzer, M. (2016). Governance by algorithms: Reality construction by algorithmic selection on the Internet. Media, Culture & Society, 39(2), 238–258. doi:10.1177/0163443716643157.
- Karimi, M., Jannach, D., & Jugovac, M. (2018). News recommender systems – survey and roads ahead. Information Processing & Management, 54(6), 1203–1227. doi:10.1016/j.ipm.2018.04.008.
- Klawitter, E. F., & Hargittai, E. (2018). “It’s like learning a whole other language”: Algorithmic skills in the curation of creative goods. International Journal of Communication.
- Latzer, M., & Festic, N. (2019). A guideline for understanding and measuring algorithmic governance in everyday life. Internet Policy Review, 8(2). Retrieved from https://policyreview.info/articles/analysis/guideline-understanding-and-measuring-algorithmic-governance-everyday-life doi: 10.14763/2019.2.1415
- Litt, E. (2013). Measuring users’ internet skills: A review of past assessments and a look toward the future. New Media & Society, 15(4), 612–630. doi:10.1177/1461444813475424.
- National Telecommunications and Information Administration. (2018). Digital Nation Data Explorer.
- Noble, S. U. (2018). Algorithms of oppression. Retrieved from http://nyupress.org/books/9781479837243/
- O’Neil, C. (2016). Weapons of math destruction. Broadway Books.
- Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., & Granka, L. (2007). In Google we trust: Users’ decisions on rank, position, and relevance. Journal of Computer-Mediated Communication, 12(3), 801–823. doi:10.1111/j.1083-6101.2007.00351.x.
- Park, Y. J. (2013). Digital literacy and privacy behavior online. Communication Research, 40(2), 215–236. doi:10.1177/0093650211418338.
- Pasquale, F. (2015). The black box society: The secret algorithms that control money and information. Retrieved from http://www.hup.harvard.edu/catalog.php?isbn=9780674368279
- Powers, E. (2017). My news feed is filtered? Awareness of news personalization among college students. Digital Journalism, 5(10), 1315–1335. doi:10.1080/21670811.2017.1286943.
- Rader, E., & Gray, R. (2015). Understanding user beliefs about algorithmic curation in the Facebook news feed. Proceedings of the 2015 CHI Conference, 173–182. doi:10.1145/2702123.2702174.
- Schulmeister, R. (2015). Deconstructing the net generation thesis. Qwerty – Open and Interdisciplinary Journal of Technology, Culture and Education, 10(1), 69–103.
- Striphas, T. (2015). Algorithmic culture. European Journal of Cultural Studies, 18(4-5), 395–412. doi:10.1177/1367549415577392.
- Trielli, D., & Diakopoulos, N. (2019). Search as news curator: The role of Google in shaping attention to news information. Proceedings of the 2019 CHI Conference, 453(1-453), 15. doi:10.1145/3290605.3300683.
- Zhao, W. X., Li, S., He, Y., Wang, L., Wen, J.-R., & Li, X. (2016). Exploring demographic information in social media for product recommendation. Knowledge and Information Systems, 49(1), 61–89. doi:10.1007/s10115-015-0897-5.