The Google Shopping Case Pt. 2
summary
Argument: Googles five product changes — the Panda algorithm, specialized results and one‑box direct answers, the product Universal, and product listing ads/shopping units — are genuine product improvements aimed at relevance, not artificial self‑preferencing. Evidence cited: algorithm update logs, country traffic comparisons showing no causal diversion from rivals, and marketplaces (Amazon, eBay) capturing users via the Buy button. Legal claim: improving a product that hurts less efficient rivals is not abuse and there is no duty to share unless an essential facility is involved.
AI-written summary · about
chapters (22)
- 0:00Introduction
- 0:50Legal Questions
- 2:10Skip the Chronology
- 2:20Law and Facts
- 4:00Relevance Criteria
- 7:40One Box
- 8:38Product Universal
- 9:46Shopping Ads
- 11:15Summary
- 12:03Must dominant firms help rivals
- 13:48Discrimination
- 15:16No Obligation
- 15:36Price Comparison
- 15:53Diversion
- 16:25No Connection
- 17:52Exclusion from the Market
- 19:41Conclusions
- 23:59Google vs Amazon
- 26:38Googles ethos
- 30:06Market definition
- 31:21Amazon and eBay
- 33:23Audience Questions
related talks
18mClearing the path for innovation
39mPanel: What Do The Google Updates Mean For You?
17mFair play and tech
52mWhat sorcery is this? How Software uses Dark Patterns to Manipulate Users
27mCompetition in a Big Data World
47mMarketplace Europe: EU's Digital Landscape
36mGoogle’s chief business officer: ‘We have to take the fake news problem very, very seriously’
46mAlgorithmic Transparency and Accountability
