**4. Analysis**

We triangulated our observations by conducting and archiving interviews. The interview transcripts [6] were also evaluated qualitatively. The posts excerpts were reviewed, and on the web platform, responses were analyzed using the qualitative data coding program Atlas. The dataset was then classified using three platform algorithmic features, and the data were then opened to the level of the phrase or paragraph around each function. We evaluated the remaining data to identify essential subjects, including social sensibilities and socialization. This lead to the introduction of a total of 289 definitions. The ideas were later grouped into 16 themes, and emerging phenomena were clarified. To understand the connection between categories, we concentrated on eight categories related to our research

questions concerning algorithmic management. When checked at 10% of transcripts (Kappa = 0.81), the final coding method demonstrated strong reliability over two coders. We have been able to settle disagreements between coders by debate.
