newsfilter.io
Interview

Tracking Political Manipulation Through Social Media - Samantha Bradshaw

  • New entrants are projected to experiment with crude automation before evolving into sophisticated algorithmic gaming strategies by 2020.
  • Disinformation tactics are expected to shift from random content dissemination to targeted content creation around specific societal triggers.
  • Campaigns are predicted to migrate from Twitter and Facebook in the US to WhatsApp in India, following user concentration patterns.
  • Disinformation is forecast to expand onto image and video platforms like Instagram and YouTube due to the superior retention impact of visual media.
  • Fake accounts are anticipated to proliferate on Twitter due to easy API access, while those on Facebook are expected to remain rarer but more impactful within trusted communities.
  • Platform incentives may shift as advertisers cease paying for bot views, potentially forcing the deletion of fake accounts to preserve market value.
  • Content-focused regulations like Germany's NetzDG are expected to carry risks of censoring legitimate criticism and aiding authoritarian regimes in silencing dissent.
  • While platforms will remain opaque, standard tracing of algorithmic intention and design principles is anticipated to become a norm for understanding content delivery.
  • Selective exposure to information is expected to persist as a fundamental human trait, requiring education as the primary mitigation strategy regardless of fake news removal.
  • Social media platforms face potential "combustion" where user de-platforming could catalyze the adoption of non-advertising-based business models.
  • Continued consolidation of major platforms may lock users into single ecosystems, potentially exacerbating the scale of disinformation impacts.
  • Ongoing investigations into the Internet Research Agency will provide public knowledge, though specific policy outcomes from the Mueller Report remain uncertain.
  • The ratio of junk news to professional content is predicted to rise or remain high during the 2020 US election cycle as platforms fail to implement timely solutions.
  • Significant innovation in manipulation techniques is expected during the 2020 US election driven by high financial stakes in campaign media strategies.
  • Deep fakes are not expected to become a dominant threat in high-literacy environments due to detection research, though they may gain traction in low-literacy settings.
  • Governments are projected to increase focus on technology and politics regulation, with figures like Senator Warren and Damian Collins anticipated to lead efforts.
  • Political polarization in the US is expected to widen over the next 20 years if current societal anger and communication deficits persist.
  • Increased regulatory focus is hoped to foster proper governance rather than inhibit technological progress.
  • The 2019 Canadian election is anticipated as a potential case study for disinformation, with fears regarding the rise of populist and anti-immigration narratives.
  • Brexit-related rhetoric and disinformation are expected to remain embedded in the UK political landscape for several years.
  • An increase in junk news is predicted for the 2020 US election, contingent on the failure of platforms to resolve information integrity issues before the cycle concludes.