Educational, political, or moral/religious content is increasingly present on TikTok, so contemporary social dynamics legitimize the process of digital mediation regarding these institutional values. Based on 286 open-ended survey answers and subsequent interviews with 45 Romanian TikTok users, this article applies social constructivism to explore the intersubjective side of algorithmic experiences. The significance of such a framework lies in its ability to elucidate the manner in which users actively construct their social environments, which may initially appear as isolated individual experiences but ultimately unveil shared algorithmic interpretations. Thus, the participants highlight three recurrent institutional themes in relation to TikTok’s algorithm: (1) algorithm as political profiling, (2) algorithm as moral plethora, and (3) algorithm as educational benchmark. Findings show that users’ stories related to algorithms are widely conceived within institutional frameworks. These narratives play a role in shaping what Berger and Luckmann call “intersubjective sedimentation” within the intricate interconnection between institutional and algorithmic realities. The ways in which TikTok users legitimize the presence of these institutional actors on their For You page should be seen as a form of agency negotiation between users and machines. The legitimating role of stories about algorithms also highlights the institutional necessity of intergenerational socialization, which is why the contents made by such institutional actors are more and more actively mediated through TikTok.

Political and moral/religious contents are increasingly popular on TikTok, and the concerns associated with them create the premises for a re-exploration of the user–machine agency negotiation. Using algorithmic awareness as a process, this research examines the relationship between users’ awareness of the TikTok algorithm and the main concerns associated with content that conveys political or moral/religious tenets. A survey of 329 Romanian students showed that greater algorithm awareness influences positive attitudes toward algorithms, but significantly stronger positive effects are observed between awareness and the two mediators related to political and moral/religious content perceived as contentious. Using Foucauldian insights on productive resistance, I argue that in-depth knowledge about the functionality of algorithms empower users to identify and subvert different forms of power, algorithmically mediated through political or religious content. When users perceive that they have enhanced agency over what they watch on TikTok, they feel that they can control potential concerns and consequently adopt positive attitudes toward algorithms and the overall platform. Foucault discusses pastoral power as a subtle form of power, designed to empty individuals of their deepest secrets. Similarly, such power is increasingly algorithmically mediated, given that digital machines enhance their agency in often nontransparent ways. Therefore, users’ awareness regarding the functionalities of algorithms allow them to combat the various mutations specific to pastoral power while encouraging them to adopt more positive attitudes toward algorithms in general.

The number of views and streamers of streaming channels is constantly growing, and Twitch seems to be the streaming platform par excellence to confirm this. Thus, using a constructivist approach, the main purpose of this article was to outline a thematic case study based on two streaming channels. Using qualitative content analysis of live chat comments ( n = 215), and also semi-structured interviews ( n = 31), findings indicate four major themes: (1) environment for the self-esteem shows that both the streamer and the viewers resort to various attempts to improve the other’s self-esteem when necessary; (2) systemic gender discrimination shows that while forms of discrimination on live chats are rather subtle and “regulatory,” there are also rare but overt forms of aggression; (3) ambiguous collective writing establishes that the differences between spamming and trolling are predominantly contextual; while (4) situational feedback for the streamer is mainly characterized by either irony or advice to the streamer.

There is considerable evidence that, in the United States, public distrust in science is amplified by a conservative ideology and by lower levels of scientific literacy. By emphasizing the discussion on reflexive modernity and (de)politicization of science and politics, we use the Eurobarometer 95.2 to explore these relationships in present-day European Union. We document a significant relationship between conservatively oriented opinions and lower scores on the scientific literacy scale and EU respondents’ levels of distrust in science. We notice that conservative attitudes – measured by dummy statements such as focus on morality instead of innovation, and national isolation due to fear of international crime instead of international co-operation – cause higher distrust in science and scientists. Unlike several studies carried out in the United States, we observe that in the European Union countries, trust in private companies to tackle with scientific issues such as climate change does not predict much when it comes to trust in science and scientists. The obtained results highlight the conceptual confluence between politicization of EU politics and expertization when it comes to policymaking at the EU level, emphasizing the debate regarding the ideological tension that fuels the distrust in science and scientists.