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.
How is the influencer ecosystem evolving? Opposing forces are in play.
On the one hand, a NYT story describes symptoms of consolidation in the large-organic-online-following-to-brand-ambassadorship pathway. As influencing becomes a day job that is inserted in a stable fashion in the consumer-brand/advertising nexus, the type of informal, supposedly unmediated communication over social media becomes quickly unwieldy for business negotiations: at scale, professional intermediaries are necessary to manage transactions between the holders of social media capital/cred and the business interests wishing to leverage it. A rather more disenchanted and normalized workaday image of influencer life thereby emerges.
On the other hand, a Vulture profile of an influencer whose personal magnetism is matched only by her ability to offend (warning: NSFW) signals that normalization may ultimately be self-defeating. The intense and disturbing personal trajectory of Trisha Paytas suggests that the taming of internet celebrity for commercial purposes is by definition a neverending Sisyphean endeavor, for the currency involved is authenticity, whose seal of approval lies outside market transactions. The biggest crowds on the internet are still drawn by titillation of outrage, although their enactors may not thereby be suited to sell much of anything, except themselves.
Adam Satariano in the NYT reports on the latest instance of platform manipulation, this time by Chinese tech giant Huawei against unfavorable 5G legislation being considered in Belgium. There’s nothing particularly novel about the single pieces of the process: paid expert endorsement, amplified on social media by coordinated fake profiles, with the resultant appearance of virality adduced by the company as a sign of support in public opinion at large. If anything, it appears to have been rather crudely executed, leading to a fairly easy discovery by Graphika: from a pure PR cost-benefit standpoint, the blowback from the unmasking of this operation did much more damage to Huawei’s image than any benefit that might have accrued to the company had it not been exposed. However, the main take-away from the story is the adding of yet another data point to the process of convergence between traditional government-sponsored influence operations and corporate astroturfing ventures. Their questionable effectiveness notwithstanding, these sorts of interventions are becoming default, mainstream tools in the arsenal of all PR shops, whatever their principals’ aims. The fact that they also tend to erode an already fragile base of public trust suggests that at the aggregate level this may be a negative-sum game.
I just read an interesting piece in the Harvard Business Review by three researchers at UC Berkeley’s Center for Long-Term Cybersecurity on how to communicate about risk. It is helpful as a pragmatic, concrete proposal on how to handle institutional communication about fundamentally uncertain outcomes in such a way as to bolster public trust and increase mass literacy about risk.