We've put together a list of the latest Truth Social statistics so you can see who uses the platform and whether or not Truth Social is likely to become a dominant social media network in the future.

A survey done in March 2022 found that 31% of Republican voters said they would use Truth Social often and 14% said they plan to use the platform a lot.

Truth Social, the social media platform launched by U.S. President Donald Trump, has seen fluctuating download numbers since its inception in February 2022. In March 2025, Truth Social recorded approximately ******* Apple App Store downloads and ******* downloads from the and Google Play Store in the United States. User adoption and brand awareness Despite its high-profile launch, Truth Social has struggled to gain widespread adoption. A May 2022 survey found that only ***** percent of U.S. respondents were registered users of the platform, with a slight gender disparity showing **** percent of male respondents having accounts compared to *** percent of female respondents. Brand awareness, however, was higher, with ** percent of U.S. social media users recognizing Truth Social when presented with its logo and name. Generational difference Truth Social's reception varies significantly across age groups and political affiliations. An October 2024 survey revealed that millennials had the most positive opinion of the platform, with **** percent viewing it favorably, followed by **** percent of Generation X and **** percent of Baby Boomers.

How does Truth Social compare to other social media platforms? There are around 2 million active Truth Social users.

As of **************, over ** percent of global Truth Social users belonged to the 55 to 64 year age group, making this the largest audience base of the social media platform owned by former president Donald Trump. Users aged 18 to 24 years accounted for just **** percent of users.

You might be surprised how much Truth Social is worth based on its small number of users.

During the beginning of the launch, they had some pretty fast growth. Here are the key Truth Social statistics you need to know.

A Truth Social data set containing a network of users, their associated posts, and additional information about each post. Collected from February 2022 through September 2022, this dataset contains 454,458 user entries and 845,060 Truth (Truth Social’s term for post) entries.

Comprised of 12 different files, the entry count for each file is shown below.

File	Data Points
users.tsv	454,458
follows.tsv	4,002,115
truths.tsv	823,927
quotes.tsv	10,508
replies.tsv	506,276
media.tsv	184,884
hashtags.tsv	21,599
external_urls.tsv	173,947
truth_hashtag_edges.tsv	213,295
truth_media_edges.tsv	257,500
truth_external_url_edges.tsv	252,877
truth_user_tag_edges.tsv	145,234

A readme file is provided that describes the structure of the files, necessary terms, and necessary information about the data collection.

In May 2022, an online survey in the United States found that only ***** percent of respondents were registered users of social media app Truth Social. Truth Social was launched in February 2022 by former U.S. President Donald Trump. Approximately ***** percent of U.S. users across all examined age groups were registered to Truth Social.

In May 2022, an online survey in the United States found that one percent of respondents who identified as Democrats had an account on Truth Social, the social media app launched by former U.S. President Donal Trump. Additionally, approximately four percent of Republican respondents were registered users of Truth Social.

In April 2024, Truth Social saw a total of 3.9 million desktop and mobile web visits in the United States, down from 4.8 million in March 2024. Monthly desktop and mobile web visits of the platform peaked in August 2022, reaching 9.8 million visits. Truth Social is an American media and technology company owned by former U.S. president Donald Trump.

In May 2022, an online survey in the United States found that only *** percent of respondents living in urban communities reported having an account on social media app Truth Social. In comparison, ***** percent of respondents in rural and in suburban communities stated that they had an account on the social app launched by former U.S. President Donald Trump.

In May 2022, an online survey in the United States found that only ***** percent of respondents were registered users of social media app Truth Social, launched in ************* by former U.S. President Donald Trump. Approximately **** percent of U.S. male respondents reported having a Truth Social account, while only *** percent of female respondents stated the same.

As of March 2022, a survey conducted among registered voters in the United States found that 61 percent of women stated they would not be using former President Donald Trump's newly released social media platform, Truth Social. Additionally, 50 percent of male respondents said they would also not be using Truth Social. Of respondents who said they would use the social platform a lot, ten percent were men and six percent were women.

As of September 2024, almost ** percent of Truth Social users were men, and **** percent were women. In April 2024, Truth Social saw a total of *** million desktop and mobile web visits in the United States, down from *** million in the previous month.

In May 2022, an online survey in the United States found that registered Truth Social users among respondents with an annual household income between ******* and 100, 000 U.S. dollars were **** percent. Truth Social was launched in February 2022 by former U.S. President Donald Trump. In comparison, around *** percent of respondents with a household income under ****** U.S. dollars reported having an account on the former President's social media app.

com-LiveJournal: LiveJournal social network and ground-truth communities

LiveJournal is a free on-line blogging community where users declare friendship each other. LiveJournal also allows users form a group which other members can then join. We consider such user-defined groups as ground-truth communities. We provide the LiveJournal friendship social network and ground-truth communities.

We regard each connected component in a group as a separate ground-truth community. We remove the ground-truth communities which have less than 3 nodes. We also provide the top 5,000 communities with highest quality which are described in our paper. As for the network, we provide the largest connected component.

com-Friendster: Friendster social network and ground-truth communities

Friendster is an on-line gaming network. Before re-launching as a game website, Friendster was a social networking site where users can form friendship edge each other. Friendster social network also allows users form a group which other members can then join. We consider such user-defined groups as ground-truth communities. For the social network, we take the induced subgraph of the nodes that either belong to at least one community or are connected to other nodes that belong to at least one community. This data is provided by The Web Archive Project, where the full graph is available.

We regard each connected component in a group as a separate ground-truth community. We remove the ground-truth communities which have less than 3 nodes. We also provide the top 5,000 communities with highest quality which are described in our paper. As for the network, we provide the largest connected component.

com-Orkut: Orkut social network and ground-truth communities

Orkut is a free on-line social network where users form friendship each other. Orkut also allows users form a group which other members can then join. We consider such user-defined groups as ground-truth communities. We provide the Orkut friendship social network and ground-truth communities. This data is provided by Alan Mislove et al.

We regard each connected component in a group as a separate ground-truth community. We remove the ground-truth communities which have less than 3 nodes. We also provide the top 5,000 communities with highest quality which are described in our paper. As for the network, we provide the largest connected component.

com-Youtube: Youtube social network and ground-truth communities

Youtube is a video-sharing web site that includes a social network. In the Youtube social network, users form friendship each other and users can create groups which other users can join. We consider such user-defined groups as ground-truth communities. This data is provided by Alan Mislove et al.

We regard each connected component in a group as a separate ground-truth community. We remove the ground-truth communities which have less than 3 nodes. We also provide the top 5,000 communities with highest quality which are described in our paper. As for the network, we provide the largest connected component.

com-DBLP: DBLP collaboration network and ground-truth communities

The DBLP computer science bibliography provides a comprehensive list of research papers in computer science. We construct a co-authorship network where two authors are connected if they publish at least one paper together. Publication venue, e.g, journal or conference, defines an individual ground-truth community; authors who published to a certain journal or conference form a community.

We regard each connected component in a group as a separate ground-truth community. We remove the ground-truth communities which have less than 3 nodes. We also provide the top 5,000 communities with highest quality which are described in our paper. As for the network, we provide the largest connected component.

com-Amazon: Amazon product co-purchasing network and ground-truth communities

Network was collected by crawling Amazon website. It is based on Customers Who Bought This Item Also Bought feature of the Amazon website. If a product i is frequently co-purchased with product j, the graph contains an undirected edge from i to j. Each product category provided by Amazon defines each ground-truth community.

We regard each connected component in a product category as a separate ground-truth community. We remove the ground-truth communities which have less than 3 nodes. We also provide the top 5,000 communities with highest quality which are described in our paper. As for the network, we provide the largest connected component.

email-Eu-core: email-Eu-core network

The network was generated using email data from a large European research institution. We have anonymized information about all incoming and outgoing email between members of the research institution. Th...

According to a survey conducted on April 14, 2024, 49 percent of Truth Social users had not accessed the app for over 61 days. Overall, 22 percent of users reported having accessed the social platform's app within the last seven days.

Population-level national networks on social media are precious and essential for network science and behavioural science. This study proposes a data collection strategy for scraping online social networks at the population level, and thereby serving as a “ground truth” for the validation of both ego-centric and socio-centric data collection approaches. We proposed a set of validation approaches to evaluate the validity of our approach. Finally, we re-examined classical network and communication propositions (e.g., 80/20 rule, six degrees of separation) on the national network. Our proposed strategy would largely flourish the data collection pool of population-level social networks and further develop the research of network analysis in digital media environment.

The real dataset consists of movie evaluations from IMDB, which provides a platform where individuals can evaluate movies on a scale of 1 to 10. If a user rates a movie and clicks the share button, a Twitter message is generated. We then extract the rating from the Twitter message. We treat the ratings on the IMDB website as the event truths, which are based on the aggregated evaluations from all users, whereas our observations come from only a subset of users who share their ratings on Twitter. Using the Twitter API, we collect information about the follower and following relationships between individuals that generate movie evaluation Twitter messages. To better show the influence of social network information on event truth discovery, we delete small subnetworks that consist of less than 5 agents. The final dataset we use consists of 2266 evaluations from 209 individuals on 245 movies (events) and also the social network between these 209 individuals. We regard the social network to be undirected as both follower or following relationships indicate that the two users have similar taste.