The number of Reddit users in the United States was forecast to continuously increase between 2024 and 2028 by in total 10.3 million users (+5.21 percent). After the ninth consecutive increasing year, the Reddit user base is estimated to reach 208.12 million users and therefore a new peak in 2028. Notably, the number of Reddit users of was continuously increasing over the past years.User figures, shown here with regards to the platform reddit, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once. Reddit users encompass both users that are logged in and those that are not.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Reddit users in countries like Mexico and Canada.

All in title.

The number of Reddit users in Africa was forecast to continuously increase between 2024 and 2028 by in total 4.7 million users (+66.67 percent). After the eighth consecutive increasing year, the Reddit user base is estimated to reach 11.78 million users and therefore a new peak in 2028. Notably, the number of Reddit users of was continuously increasing over the past years.User figures, shown here with regards to the platform reddit, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once. Reddit users encompass both users that are logged in and those that are not.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Reddit users in countries like North America and Asia.

This statistic shows a ranking of the estimated number of Reddit users in 2020 in Africa, differentiated by country. The user numbers have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once. Reddit users encompass both users that are logged in and those that are not.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Gendered terms in 100 most popular subreddits, as judged by a chi-squared test. Spreadsheets are organised by subjectively determined subreddit theme.This is data associated with the paper: She’s Reddit: A new source of Gendered interest information? with Emma Stuart.

The number of Reddit users in Israel was forecast to increase between 2024 and 2028 by in total 0.01 million users (+0.76 percent). This overall increase does not happen continuously, notably not in 2027. The Reddit user base is estimated to amount to 1.32 million users in 2028. Notably, the number of Reddit users of was continuously increasing over the past years.User figures, shown here with regards to the platform reddit, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once. Reddit users encompass both users that are logged in and those that are not.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Reddit users in countries like Bahrain and Kuwait.

The included datasets are at the basis of the article "No space for Reddit spacing: Mapping the reflexive relationship between groups on 4chan and Reddit", published in Social Media + Society. They include cross-mentions between 4chan and Reddit, as well as various metrics associated to these cross-references.

The timeframe ranges from the earliest date available (for Reddit: June 2006; for 4chan/b/: April 2006; for 4chan/pol/: December 2013) and ends in January 2023 (except for the 4chan/b/ dataset, which ends in December 2008).

The datasets specifically entail the following:

1. Cross-mentions from Reddit to 4chan

reddit-mentions-to-4chan.csv

I used the Pushshift API's search endpoint to fetch Reddit comments (so no opening posts) with the keyword "4chan" (note: this Pushshift functionality is now deprecated). I also used a rudimentary filter to remove posts by bots, specifically by 1) deleting posts from every account that had "bot" or "auto" in the username and 2) removing all posts by authors with 100 or more contributions and which I manually identified as automated accounts.

I removed URL-only cross-references, i.e. posts that only mentioned "://boards.4chan.org" or "://boards.4channel.org" without another 4chan-reference/

This resulted in 2,638,621 "4chan" references across Reddit.

2. Cross-mentions from 4chan/pol/ to Reddit

4chan-pol_mentions-of-reddit.csv

With a complete dataset of /pol/ collected through 4CAT, I queried for "reddit" or the common synonym "plebbit", capital-insensitive, with post- and suffixes allowed (e.g. "Redditor").

I removed URL-only cross-references, i.e. posts that only mentioned "://reddit.com/", "www.reddit.com/", or "i.reddit.com/". without another Reddit-reference/

This resulted in 1,640,273 "Reddit" references on /pol/.

3. Cross-mentions from 4chan/b/ to Reddit

4chan-b_mentions-to-reddit.csv

I extracted five million posts from Jason Scott's 4chan/b/ dump. I then queried for "reddit" or the common synonym "plebbit", capital-insensitive, with post- and suffixes allowed (e.g. "Redditor").

I removed URL-only cross-references, i.e. posts that only mentioned "://reddit.com/", "www.reddit.com/", or "i.reddit.com/". without another Reddit-reference/

This resulted in 1,287 "Reddit" references on /b/.

See Hagen (2020) for more information on the 4chan/b/ dataset.

4. Cross-mention metrics

cross-mention-metrics.xlsx

I extracted the following metrics from the datasets above:

4.1 The total number of cross-mentions, absolute and relative, per month
This simply used the monthly counts from datasets 1 and 2.

4.2 The most mentioned subreddits on /pol/, per year
Using the regular expression: r\/[a-zA-Z_]

4.3 Subreddits that mention 4chan most often, per year

4.4 4chan boards mentioned across Reddit, per month

4.5 4chan boards mentioned by subreddits

I counted every subreddit- or board-mention per post instead of total occurrences.

For 4.4 and 4.5, I used the following regular expression to extract 4chan board names:

(\s|^|4chan)\/(a|b|c|d|e|f|g|gif|h|hr|k|m|o|p|t|v|vg|vm|vmg|vr|vrpg|vst|w|wg|i|ic|r9k|s4s|vip|qa|cm|hm|lgbt|y|3|aco|adv|an|bant|biz|cgl|ck|co|diy|fa|fit|gd|hc|his|int|jp|lit|mlp|mu|n|news|out|po|pol|pw|qst|sci|soc|sp|tg|toy|trv|tv|vp|vt|wsg|wsr|x|xs|new)\/(\s|$)

I also omitted 4chan's /r/, /u/, and /s/ boards; despite their small scale, they appeared as false positives due to their unrelated vernacular meaning on Reddit (e.g. /u/ as a username prefix).

4.5 was also transformed and included as a Gephi network file (subreddit-board-mentions.gephi).

Lastly, I also included:

4.6 The total amount of posts on 4chan and Reddit

This was used to calculate 4.1. It uses Pushshift's database statistics (which as of Nov. 2023 requires a login; see this Pastebin for an alternative) and metrics of total 4chan post counts from 4stats.io.

Each of these metrics has their own corresponding tab in the Excel file.

5. Co-words of "4chan" and "reddit" in the cross-mentions

co-words.xslx

Using datasets 1, 2, and 3, I extracted the top ten words appearing directly next to "4chan" on Reddit, and next to "Reddit" on 4chan, per year.

I first pre-processed the text, which involved tokenisation, filtering of unwanted text elements like URLs, stop word removal (I whitelisted back), and lemmatisation.

For the co-word extraction I used a window size of two. I excluded a range of semantically uninteresting words or commonly used hate speech terms prevalent throughout 4chan.

6. Annotated cross-mentions between Reddit and 4chan/pol/ in September 2014

annotations_4chanpol-2014.csv
annotations_reddit-2014-kotakuinaction-anonimised.csv
annotations_reddit-2014-tumblrinaction-anonimised.csv

I extracted cross-mentions from /pol/ to Reddit and from Reddit to 4chan in September 2014 for close-reading and annotation.

_

The author names are removed for all datasets.

This repository contains auxiliary materials for the iConference 2024 paper "“If I like BLANK, what else will I like?”: Analyzing
a Human Recommendation Community on Reddit" by Thi Binh Minh Cao and Toine Bogers (= corresponding author)

Published in: Proceedings of the 2024 iConference, April 15--26, 2024, Changchun, China.

The paper presents the results of an analysis of /r/ifyoulikeblank, a Reddit community dedicated to requesting and providing for recommendations. This repository contains the following auxiliary materials:

• The annotated sample of threads from the /r/ifyoulikeblank subreddit (annotated-dataset.xlsx). The second sheet in the Excel file explains the contents of the file.
• The R code for performing the analysis described in the paper (annotation-analysis.R)
• CSV file containing the genres attributed to the artists as crawled from the Spotify API (artist-spotify-genres.csv)
• CSV file containing the popularity scores crawled from the Spotify API for the seed items and Spotify recommendations (recommendation-popularity.reddit-vs-spotify.csv)
• CSV file containing the popularity scores crawled from the Spotify API for the Reddit (recommendation-popularity.reddit.csv)
• The stopwords file used in the textual analysis (stopwords.csv)
• Excel file containing the activity data for the /r/ifyoulikeblank subreddit (subreddit-stats.xlsx)

In recent years, computational approaches for extracting customer needs from user generated content have been proposed. However, there is a lack of studies that focus on extracting unmet needs for future popular products. Therefore, this study presents a supervised keyphrase classification model which predicts needs that will become popular in real products in the marketplace. To do this, we utilize Trending Customer Needs (TCN)—a monthly dataset of trending keyphrase customer needs occurring in new products during 2011-2021 across multiple categories of Consumer Packaged Goods e.g. toothpaste, eyeliner, beer, etc. We are the first study to use this specific dataset and employ it by training a time series algorithm to learn the relationship between features we generate for each candidate keyphrase on Reddit to the ones in the dataset 1-3 years in the future. We show that our approach outperforms a baseline in the literature and through Multi-Task Learning can accurately predict needs for a category it wasn’t trained on e.g. train on toothpaste, cereal, and beer products yet still predict for shampoo products. The findings from this research could provide many advantages to businesses such as gaining early access into markets.

Child ages and subreddit source reflected in included topic themes.