Tag Archives: Platforms

Geopolitical splintering, decentralization, impartiality

Meta and Twitter have discovered and dismantled a network of coordinated inauthentic behavior spreading pro-US (and anti-China/Russia/Iran) narratives in Central Asia and the Middle East (Al Jazeera, Axios stories). Undoubtedly, this kind of intervention bolsters the platforms’ image as neutral purveyors of information and entertainment, determined to enforce the rules of the game no matter what the ideological flavor of the transgression may be. In a way, paradoxically, such impartiality may even play well in Washington, where the companies would certainly welcome the support, given the current unfavorable political climate.

The type of universalism on display in this instance harkens back to an earlier era of the internet, the techno-libertarian heyday of the 1990s. Arguably, however, that early globalist vision of the world-wide web has already been eviscerated at the infrastructural level, with the growth of distinctive national versions of online life, in a long-term process that has only been made more visible by the conflict in Ukraine. Hence, the impartiality and universality of Meta and Twitter can be seen ultimately as an internal claim by and for the West, since users in countries like Russia, China, or Iran are unable to access these platforms in the first place. Of course, geopolitical splintering was one of the ills the web3 movement set out to counter. How much decentralization can resist the prevailing ideological headwinds, however, is increasingly unclear. Imperfect universalisms will have to suffice for the foreseeable future.

A.utomated I.dentity?

An interesting, thoughtful article by Michelle Santiago Cortés in The Cut last week looks at affective relationships with algorithms and their role in shaping our identities.

Three parts of the analysis specifically stood out to me. The first revolves around our typical lack of knowledge of algorithms: Cortés’ story about

some YouTube alpha male […] out there uploading videos promising straight men advice on how to “hack” the Tinder algorithm to date like kings

is clearly only the tip of a gigantic societal iceberg, a cargo-culture-as-way-of-life involving pretty much everyone in the remotest, most diverse walks of life. The ever-evolving nature of these algorithms compounds the obfuscation effect, making end-users’ strategic attempts, whether exploitation- or resistance-focused, generally appear puerile.

Second, the clarity with which Cortés encapsulated the main tradeoff in the relationship was truly apt:

[w]e are, to varying degrees, okay with being surveilled as long as we get to feel seen.

The assertion of visibility and assurance of recognition are two of the key assets algorithmic systems offer their users, and their value can hardly be minimized as mere late-consumerist narcissism.

Finally, the comparison between algorithmic portraits of personality and astrology was extremely telling: closing the behavioral loop from algorithmic interaction to the redefinition of one’s own identity on the basis of the algorithm’s inevitably distorting mirror is still a matter of choice, or rather, a sensibility that can be honed and socialized regarding the most empowering and nurturing use of what is ultimately a hermeneutic tool. Of course, such a benign conclusion rests on the ambit of application of such technologies: music videos, entertainment, dating. As soon as our contemporary astrological devices are put in charge of directing outcomes in the field of political economy and public policy, the moral calculus rapidly shifts.

Rightwing algorithms?

A long blog post on Olivier Ertzscheid’s personal website [in French] tackles the ideological orientation of the major social media platforms from a variety of points of view (the political leanings of software developers, of bosses, of companies, the politics of content moderation, political correctness, the revolving door with government and political parties, the intrinsic suitability of different ideologies to algorithmic amplification, and so forth).

The conclusions are quite provocative: although algorithms and social media platforms are both demonstrably biased and possessed of independent causal agency, amplifying, steering, and coarsening our public debate, in the end it is simply those with greater resources, material, social, cultural, etc., whose voices are amplified. Algorithms skew to the right because so does our society.

More interesting cybersecurity journalism (finally)

A study (PDF) by a team led by Sean Aday at the George Washington University School of Media and Public Affairs (commissioned by the Hewlett Foundation) sheds light on the improving quality of the coverage of cybersecurity incidents in mainstream US media. Ever since 2014, cyber stories in the news have been moving steadily away from the sensationalist hack-and-attack template of yore toward a more nuanced description of the context, the constraints of the cyber ecosystem, the various actors’ motivations, and the impactof incidents on the everyday lives of ordinary citizens.

The report shows how an understanding of the mainstream importance of cyber events has progressively percolated into newsrooms across the country over the past half-decade, leading to a broader recognition of the substantive issues at play in this field. An interesting incidental finding is that, over the course of this same period of time, coverage of the cyber beat has focused critical attention not only on the ‘usual suspects’ (Russia, China, shadowy hacker groups) but also, increasingly, on big tech companies themselves: an aspect of this growing sophistication of coverage is a foregrounding of the crucial role platform companies play as gatekeepers of our digital lives.

A global take on the mistrust moment

My forthcoming piece on Ethan Zuckerman’s Mistrust: Why Losing Faith in Institutions Provides the Tools to Transform Them for the Italian Political Science Review.