WEEK 5

 

Background information

Algorithmic interactions on social media are unclear, twisted and initiative whereas interactions controlled by computers used to be clear, submissive and objective. Algorithmic interactions on social media commonly seek for profits for other businesses or candidate ambitions. A definition of an online algorithmic mechanism is an explicit instruction of the way to convert incoming sources to results. Online algorithms have been improved significantly over time in making less errors and acknowledging pictures better. The analytic ability of online algorithms is pervasive, which enables to suggest other things by analyzing incoming sources. In some cases, this suggestion function is accused of receiving limited results due to how information is aggregated by the algorithm.

Hilbert, M., Liu, B., Luu, J., & Fishbein, J. (2019). Behavioral Experiments With Social Algorithms: An Information Theoretic Approach to Input–Output Conversions. Communication Methods & Measures, 13(4), 267–286. https://doi-org.ezproxy.pc.maricopa.edu/10.1080/19312458.2019.1620712

https://www.advancinganalytics.co.uk/blog/2020/5/13/recommendation-systems