Bluesky experienced rapid user growth in late 2024. The platform's user base expanded from 14.5 million in October to 25 million by December, showcasing its increasing popularity among social media users seeking new options. Surge in downloads and user engagement The platform's growth was particularly notable following the U.S. presidential elections in November 2024, when monthly downloads surged to 7.35 million. This increase in user adoption coincided with rising demand for Twitter alternatives. Earlier in the year, Bluesky had already shown strong performance, with 38,000 downloads from Android devices and 30,000 from iOS devices in July 2024. Moderation challenges and user demographics As Bluesky's user base expanded, so did the need for content moderation. In 2024, the platform received 6.48 million reports to its moderation service, a significant increase from 358,000 reports in 2023. These reports included 1.75 million for anti-social behavior, 1.2 million for misleading content, and 1.4 million for spam.

As of April 2025, 26.42 percent of global Bluesky.com visitors were aged between 25 and 34 years. Additionally, just under one third of users were aged between 18 and 24 years.

Bluesky saw a significant increase in user reports to its moderation service in 2024. The number of reports jumped from 358,000 in 2023 to 6.48 million in 2024, indicating a growing user base and increased platform activity. This surge in moderation reports coincided with a spike in monthly downloads, particularly after the U.S. presidential elections in November 2024, when Bluesky downloads reached 7.35 million. Breakdown of moderation reports The 6.48 million reports submitted to Bluesky's moderation service in 2024 covered various issues. Anti-social behavior accounted for 1.75 million reports, while misleading content and spam received 1.2 million and 1.4 million reports, respectively. These figures suggest that users actively engaged in flagging content that violated platform guidelines. Additionally, Bluesky received 238 requests from law enforcement, governments, and legal entities, responding to 182 of them. The most common legal requests were for user data, followed by takedown requests and inquiries. Comparison with other platforms While Bluesky experienced growth in user reports, other social media platforms like Facebook saw fluctuations in content moderation. In the third quarter of 2024, Facebook removed 6.4 million pieces of hate speech content, down from 7.2 million in the previous quarter. Similarly, Facebook took action on 7.6 million pieces of bullying and harassment related content in the same period, a slight decrease from 7.8 million in the previous quarter. These comparisons highlight the ongoing challenges social media platforms face in content moderation and user safety.

POLITISKY24 (Political Stance Analysis on Bluesky for 2024) is a first-of-its-kind dataset for stance detection, focused on the 2024 U.S. presidential election. It designed for target-specific user-level stance detection and contains 16,044 user-target stance pairs centered on two key political figures, Kamala Harris and Donald Trump. In addition, this dataset includes detailed metadata, such as complete user posting histories and engagement graphs (likes, reposts, and quotes).

Stance labels were generated using a robust and evaluated pipeline that integrates state-of-the-art Information Retrieval (IR) techniques with Large Language Models (LLMs), offering confidence scores, reasoning explanations, and text spans for each label. With an LLM-assisted labeling accuracy of 81%, POLITISKY24 provides a rich resource for the target-specific stance detection task. This dataset enables the exploration of Bluesky platform, paving the way for deeper insights into political opinions and social discourse, and addressing gaps left by traditional datasets constrained by platform policies.

In the uploaded files:

• The file 'Human_annotation_on_validation_users.csv' contains human-annotated stance labels for 445 validation users toward Trump and Harris, resulting in a total of 890 user-target pairs.
  The labels are divided into four stances: 1 (favor), 2 (against), 3 (neutral), and 4 (unrelated). To simplify the stance annotations provided by the large language model, the "neutral" and "unrelated" categories are combined and represented as "neither."
• The file 'LLM_annotation_on_validation_users.json' contains stance labels annotated by a state-of-the-art LLM for 445 validation users toward Trump and Harris, resulting in a total of 890 user-target pairs. In addition to stance labels, each pair includes an explanation of the reasoning, the source tweets, spans from the source tweets used in the reasoning, and a confidence score.
• The file 'LLM_annotation_on_dataset_users.json' is similar to 'LLM_annotation_on_validation_users.json but is generated for all dataset users excluding the validation set. It provides stance labels for 8,022 users toward Trump and Harris, totaling 16,044 user-target pairs.
• The file 'Main_dataset_for_stance_detection.parquet' contains up to 1,000 recent English-language posts (including both original posts and reposts) from each of the 8,022 + 445 = 8,467 users. This file was used for the stance detection task.
• The file 'Bluesky_dataset_on_us_politics.parquet' is similar to 'Main_dataset_for_stance_detection.parquet', but it contains all posts (including both original posts and reposts) from each of the 8,022 + 445 = 8,467 users.
• The file 'Like_network.parquet' captures users' interactions through likes. Specifically, it contains the number of likes each user has given to original posts made by other users. It includes likes from 8,022 + 445 = 8,467 users, but it is not limited to interactions from these users alone.
• The files 'Repost_network.parquet' and 'Quote_network.parquet' are similar to 'Like_network.parquet', but they capture users' interactions through reposts and quotes, respectively.

Launched in February 2023, Bluesky is a microblogging platform that was proposed as a Twitter alternative at the beginning of the year. In July 2024, the Bluesky app generated 38,000 thousand app downloads from Android devices worldwide, while iOS devices generated 30,000 thousand downloads during the month. Bluesky is a semi-decentralized social media, and while users can access the platform only after being invited by members, all internet users can visualize Bluesky posts and content as of the last examined period.

POLITISKY24 (Political Stance Analysis on Bluesky for 2024) is a first-of-its-kind dataset for stance detection, focused on the 2024 U.S. presidential election. It designed for target-specific user-level stance detection and contains 16,044 user-target stance pairs centered on two key political figures, Kamala Harris and Donald Trump. In addition, this dataset includes detailed metadata, such as complete user posting histories and engagement graphs (likes, reposts, and quotes).

Stance labels were generated using a robust and evaluated pipeline that integrates state-of-the-art Information Retrieval (IR) techniques with Large Language Models (LLMs), offering confidence scores, reasoning explanations, and text spans for each label. With an LLM-assisted labeling accuracy of 81%, POLITISKY24 provides a rich resource for the target-specific stance detection task. This dataset enables the exploration of Bluesky platform, paving the way for deeper insights into political opinions and social discourse, and addressing gaps left by traditional datasets constrained by platform policies.

In the uploaded files:

• The file user_post_history_dataset.parquet includes the posting history of 8,561 active Bluesky users who have shared content related to American politics.

• The file user_post_list_for_stance_detection.parquet contains a list of up to 1,000 recent English-language post IDs per user, intended for use in the stance detection task.

• The file user_network_dataset.parquet captures users’ interactions through likes, reposts, and quotes.

• The file human_annotated_validation_user_stance_dataset.parquet contains human-annotated stance labels for 445 validation users toward Trump and Harris, resulting in a total of 890 user-target pairs. The labels are divided into three stances: 1 (favor), 2 (against), and 3 (neither).

• The file llm_annotated_validation_user_stance_dataset.parquet contains stance labels annotated by an LLM for the same 445 validation users toward Trump and Harris, also totaling 890 user-target pairs. In addition to stance labels, each pair includes an explanation of the reasoning, the source tweets, spans from the source tweets used in the reasoning, and a confidence score.

• The file llm_annotated_full_user_stance_dataset.parquet is similar to the above LLM-annotated validation file but covers all dataset users excluding the validation set. It provides stance labels for 8,022 users toward Trump and Harris, totaling 16,044 user-target pairs.

• The file human_annotated_validation_stance_relevancy_dataset (post-target entity pairs).parquet contains human-annotated stance labels for 175 validation posts toward Trump and Harris, resulting in 350 post-target pairs. The labels are divided into three stances: 1 (favor), 2 (against), and 3 (neither).

• The file human_annotated_validation_stance_relevancy_dataset (query-post stance relevancy pairs).parquet contains 700 query-post stance relevancy pairs derived from the post-target entity pairs.

As of April 2025, ***** percent of visitors to the bsky.app website were male. Additionally, as of the end of 2024, the decentralized social platform had a total of ** million users, up from **** million in October 2024.

This dataset tracks annual total students amount from 1987 to 2023 for Blue Sky High School

This dataset tracks annual total classroom teachers amount from 1987 to 2023 for Blue Sky High School

Historical Dataset of Blue Sky High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),American Indian Student Percentage Comparison Over Years (2000-2023),White Student Percentage Comparison Over Years (1994-2023),Diversity Score Comparison Over Years (1997-2023),Free Lunch Eligibility Comparison Over Years (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2023)

This dataset tracks annual total students amount from 2004 to 2023 for Bluesky Charter School

The microblogging platform Bluesky, which launched in February 2023, has been suggested as a Twitter substitute. As people look for a suitable replacement for the text-based social media platform, demand for Bluesky is rising. After the U.S. presidential elections in November 2024, monthly Bluesky downloads surged to *** million. In March 2025, downloads returned to a steady *** million per month.

This dataset tracks annual total revenue from 2002 to 2021 for Bluesky Charter School District

This dataset tracks annual total classroom teachers amount from 2003 to 2023 for Bluesky Charter School

This dataset tracks annual total students amount from 2022 to 2023 for Bluesky Virtual Academy

Historical Dataset of Bluesky Charter School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2004-2023),Asian Student Percentage Comparison Over Years (2004-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2004-2023),White Student Percentage Comparison Over Years (2004-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Comparison of Students By Grade Trends

How high is the brand awareness of Blue Sky in the United States?When it comes to soft drink drinkers, brand awareness of Blue Sky is at 26% in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Blue Sky in the United States?In total, 7% of U.S. soft drink drinkers say they like Blue Sky. However, in actuality, among the 26% of U.S. respondents who know Blue Sky, 27% of people like the brand.What is the usage share of Blue Sky in the United States?All in all, 6% of soft drink drinkers in the United States use Blue Sky. That means, of the 26% who know the brand, 23% use them.How loyal are the drinkers of Blue Sky?Around 3% of soft drink drinkers in the United States say they are likely to use Blue Sky again. Set in relation to the 6% usage share of the brand, this means that 50% of their drinkers show loyalty to the brand.What's the buzz around Blue Sky in the United States?In October 2022, about 6% of U.S. soft drink drinkers had heard about Blue Sky in the media, on social media, or in advertising over the past three months. Of the 26% who know the brand, that's 23%, meaning at the time of the survey there's little buzz around Blue Sky in the United States.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

Historical Dataset of Bluesky Charter School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2004-2023),Total Classroom Teachers Trends Over Years (2003-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2006-2023),American Indian Student Percentage Comparison Over Years (2004-2023),Asian Student Percentage Comparison Over Years (2004-2023),Hispanic Student Percentage Comparison Over Years (2005-2023),Black Student Percentage Comparison Over Years (2004-2023),White Student Percentage Comparison Over Years (2004-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2004-2023),Free Lunch Eligibility Comparison Over Years (2004-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2004-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

This dataset tracks annual total expenditure from 2002 to 2021 for Bluesky Charter School District

As of March 2023, decentralized social media platform Mastodon had over ten million registered users. In November 2022, there were 2.5 million users registered to the online network, an increase of around 300 percent within five months. Additionally, Mastodon, which shares similar micro-blogging features to Twitter, gained roughly 500 thousand users within ten days of Elon Musk's Twitter takeover on October 27th, 2022.