What big historical events or policy shifts have changed how Reddit works?

Reddit's history includes several inflection points that materially changed the platform's culture, rules, and functionality. The platform launched in 2005 and operated with very few rules for its first decade, a period often described as the "Wild West" era when virtually any content was permissible. The 2012 controversy over r/jailbait — a subreddit featuring sexualized images of minors that was eventually banned after a CNN investigation — was among the first events to force Reddit to articulate content limits beyond pure community autonomy. This period established the ongoing tension between free speech absolutism and content accountability that has defined Reddit's governance debates ever since. The 2015 protests over Victoria Taylor's firing and simultaneous policy changes around "harassment" subreddits demonstrated that Reddit's relationship with its moderator community was structurally fragile. Ellen Pao's tenure as interim CEO coincided with unpopular rule changes and moderator-facing decisions that accelerated her departure, and the events of that summer shaped how subsequent leadership — particularly Steve Huffman, who returned as CEO — approached communication with the volunteer community. The 2017–2020 period saw Reddit take increasingly aggressive action against communities that violated content policies, including the banning of r/fatpeoplehate, r/CoonTown, and eventually r/The_Donald and r/chapotraphouse in a 2020 policy enforcement wave that removed approximately 2,000 subreddits for violating rules around hate speech and harassment. Reddit went public on the New York Stock Exchange in March 2024, which fundamentally changed its governance orientation toward shareholder value and profitability. The IPO filing revealed a licensing agreement with Google worth more than $203 million over three years for access to Reddit data for AI training, a revenue stream that gave the API pricing controversy additional context — the 2023 changes were at least partly motivated by the platform's need to control its data as an AI training asset.