Alice: I do love you and you know there is something very important we need to do as soon as possible.
Bill: What's that?
Alice: Fuck.

-- Eyes Wide Shut (Stanley Kubrick, 1999)

This dataset contains approximately 22.8 million anonymized post titles collected from 10 major NSFW subreddits on Reddit. Each entry contains the verbatim post title, a pseudonymized author identifier, and a creation timestamp. Usernames have been replaced with deterministic two-word pseudonyms (BIP39 wordlist); no other personally identifiable information is retained.

Reddit is one of the world's top 10 most-visited websites, with over 100–121 million daily active users and 4.4–5.7 billion monthly visits as of early 2026. NSFW content constitutes a significant portion of its high-traffic communities. Reddit data has and is still being used to train large language models. Sam Altman, OpenAI's current CEO, is a major investor in Reddit (holding roughly an 8.7% stake) and previously served on its board.

Academic research on pornographication (also termed pornification) has examined how pornographic imagery, aesthetics, and language increasingly permeate mainstream culture, including advertising, media, and everyday discourse. Some basic linguistic analysis and trends can be found below.

Subreddits Included

Grok created the list of subreddits.

Rank	Subreddit	Approx. Subscribers	Focus
1	gonewild	~5.0M – 5.4M	General amateur nudes
2	asiansgonewild	~3.2M – 3.7M	Asian amateur performers
3	petitegonewild	~2.7M – 3.2M	Petite women
4	milf	~1M – 2M+	Mature women / MILF fantasy
5	massivecock	~1.3M	Big dick focus (gay/bi appeal)
6	gaybrosgonewild	~700K – 850K+	Gay amateur "bros"
7	gonewild30plus	~500K – 700K+	30+ women
8	twinks	~550K – 700K	Young gay men
9	ladybonersgw	~450K – 550K	Women appreciating men
10	dadsgonewild	~350K+	Mature dads (gay appeal)

Data Source

This dataset was created by processing public monthly dumps from Arctic Shift (the open successor to Pushshift). Only post titles, subreddit, and creation date were retained. All usernames were removed via automated cleaning.

Casual observations

Some questions this dataset could help answer:

Has viewing and participation in Reddit NSFW subreddits, and other social media platforms (Instagram, WhatsApp):
- Altered attitudes to explicit content.
- Permeated popular culture: for example use of similar provocative sexual language in advertising, video (YouTube/television), radio.
- Normalized behaviours (via language) that were previously seen as maladaptive.
- Sexually liberated the consumers of the content? Or normalized sexually-compulsive behaviour ("Histrionic" behaviour in the DSM)?
- Is it an adaptive short term fix for a lack of human connection and validation ("the loneliness epidemic")?

Interaction with others is often characterized by inappropriate sexually seductive or provocative behavior.
-- Histrionic Personality Disorder (HPD), DSM 5 TR

At what point is freely available sexualized content harmful versus liberating as a society? Can this be controlled anymore, or has pandora's box been opened? (that is NOT an innuendo!)

Recent examples of the sexualized language seeping into advertising and on Twitter/X, language that you find on the subreddits in this dataset:

These are fairly overtly sexual examples, you will find more subtle innuendo-based usage very common now: in advertising, social media advertising, perhaps even in corporate work environments too (online/video chat).

Could there be a correlation between regular consumption of sexualized content and seeing its language as socially acceptable? We-all-look-at-porn, let's-stop-pretending-we-don't attitude. Is the usage just deliberate "rage-baiting" and "engagement farming"? The second explanation doesn't hold up that well as people aren't particularly outraged, given the frequency the language appears in advertising etc.

It's worth noting slightly older advertising contains examples of sexualized language:

Basic stats and linguistic analysis from the dataset

A basic but comprehensive language analysis is in the STATS.md file. Here's some of the findings:

There have been over 22,800,000 posts from just these 10 subreddits in the last 10 years.
Gonewild has had almost 8m posts.
The majority of posters delete their account after posting.
The age of Gonewild posters has increased every year since 2019.
Food metaphors are surprisingly low - under 2% of posts.
The milf subreddit has the highest infidelity-themed post titles.
Exhibitionism related titles are under 1%.
gonewild30plus has most mentions of husband or wife in its post titles.

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