According to a survey conducted among young people in Japan in March 2023, more than six percent of the respondents stated that they trusted or referred to the YouTuber Hikakin the most among influencers and celebrities. The make-up influencer Nanako ranked second, with 2.1 percent of participants reporting to trust her or to refer to her the most.

Dataset

This dataset was created by HoangKim_14

Contents

The survey presents data on the perspectives on celebrities speaking out about diversity in Hollywood as of January 2019. Whilst 17 percent of surveyed U.S. adults said that they felt that celebrities promoting diversity in Hollywood had mostly created negative change, 32 percent said otherwise, believing that celebrities had influenced a positive change in the industry.

Dataset

This dataset was created by meow10630196

Contents

This compressed folder includes the code used for scraping and building the dataset, the intermediate datasets and the (not cross-verified) exhaustive dataset. This dataset is linked to the following paper that should be cited directly instead of the data itself: Morgane Laouenan, Palaash Bhargava, Jean-Benoît Eyméoud, Olivier Gergaud, Guillaume Plique, Etienne Wasmer (2022) A cross-verified database of notable people, 3500BC-2018AD, Scientific Data, June 2022. Bibtex: @article{bhht3, author = {Laouenan, Morgane and Bhargava, Palaash and Eyméoud, Jean-Benoît and Gergaud, Olivier and Plique, Guillaume and Wasmer, Etienne}, title = {A cross-verified database of notable people, 3500BC-2018AD}, journal = {Scientific Data}, publisher = {Nature Publishing Group}, year = {2022}, month = {Jun}, day = {09}, volume = {9}, number = {1}, pages = {290}, issn = {2052-4463}, doi = {10.1038/s41597-022-01369-4}, url = {https://doi.org/10.1038/s41597-022-01369-4} } The intermediate files as well as the exhaustive database are not cross-verified and should not be used directly or under the full responsibility of users. All datasets included in this folder are subject to CC-BY-SA licensing.

The Celebrities in Frontal-Profile (CFP) dataset contains 500 celebrities, each of which has ten frontal and four profile face images.

A mixed martial artist Khabib Nurmagomedov was the most successful celebrity in Russia based on income and popularity, as calculated between June 2020 and May 2021. Based on earnings, mentions in mass media and social media, Instagram and YouTube subscribers, and Yandex and Google search queries, Nurmagomedov received a total score of 89.04 points. Alisher Morgenshtern, a Russian rapper, singer, and blogger, ranked second. He received over four million social media mentions over the period under consideration. A hockey player Alexander Ovechkin had highest earnings among the celebrities in the ranking, at 12.2 million U.S. dollars.

Leading the ranking of highest-paid celebrities in 2022 was the rock band Genesis, with an annual income of 230 million U.S. dollars. In second place was Sting with 210 million dollars in earnings, followed by Tyler Perry with an income of 175 million U.S. dollars that year.

Celebrities

## Overview

Celebrities is a dataset for classification tasks - it contains Face annotations for 357 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This statistic depicts the most important people onboarding activities in North America in 2017. During the survey, 47 percent of respondents stated meeting with key stakeholders and teams was a very important people onboarding activity.

United Kingdom (UK) singer Adele had the most popular celebrity page on Facebook in the UK as November 2020, ahead of Jason Statham and David Beckham.

UK celebrities on YouTube

While Adele is the undisputed queen of Facebook, the rankings vary significantly across each social network. Adele is the third most popular UK celebrity on YouTube, with less than half the subscriber count of Ed Sheeran’s channel. In December 2019, Sheeran’s videos have been viewed more than that of any other UK celebrity, racking up 18.65 billion views in total.

UK celebrities on Twitter

When it comes to Twitter, it seems people are only going in one direction. Of the ten most popular UK celebrity accounts on Twitter, five of those accounts are related to the former boyband, One Direction. Harry Styles leads the pack, having amassed 35.7 million followers in November 2020. Styles runs the second most popular Twitter account overall, with only BBC Breaking News (@BBCBreaking) having more followers.

https://s3-prod.adage.com/s3fs-public/20230807_celeb_run_agencies_3x2.jpg" alt="Celebs"> The dataset you provided appears to focus on TikTok celebrities and contains the following columns:

Celebrity: The name or handle of the TikTok celebrity. Followers: The number of followers the celebrity has, often represented in millions or billions. Following: The number of accounts the celebrity follows, which may be represented as thousands (K) or just a number. Likes: The total number of likes the celebrity’s videos have received, often represented in millions or billions. T.Videos: The total number of videos posted by the celebrity. Video Duration: The typical duration of their videos, which ranges from a few seconds (e.g., 10 - 15 seconds) to over a minute. Average Views: The average number of views their videos receive, often in millions. Net Worth: The estimated net worth of the celebrity, often represented in millions or billions of dollars. Most Viewed Video: The number of views for their most popular video, usually in millions or billions. Most Liked Video: The number of likes for their most popular video, represented in millions or billions. Video Category: The types or categories of videos the celebrity posts, such as comedy, dance, acting, challenges, etc.

Avneet Kaur was the most influential celebrity in fashion marketing worldwide in 2023, with a media impact value (MIV) of ** million U.S. dollars. Anuel ranked second, with a MIV of ** million.

Researchers in R&D (per million people) in Italy was reported at 2796 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Italy - Researchers in R&D (per million people) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This dataset has been created by extracting and compiling historical war information from Wikipedia. It includes details such as war names, participants, start and end dates, locations, and outcomes. The data has been curated and structured for easy analysis and visualization for educational and research purposes.

Faces Through Time (FTT) features 26,247 images of notable people from the 19th to 21st centuries, with roughly 1,900 images per decade on average. It is sourced from Wikimedia Commons, a crowdsourced and open-licensed collection of 50M images.

Explore the historical Whois records related to free-people-search-people.com (Domain). Get insights into ownership history and changes over time.

Chinese civilization has a long history, and the Central Plains, with Henan as the core, is one of its birthplaces. Understanding the psycho-linguistic changes in Henan is of great significance for understanding the evolution and formation of national cultural psychology. The traditional method is mainly qualitative or speculative, which makes the consistency among the research results low. Moreover, because most of the research are conducted in a specific period or on a specific figure, they are relatively scattered and unsystematic. To systematically and quantitatively study the psychological changes in the Central Plains represented by Henan Province, this article aimed to examine the self-reported discourses of historical celebrities in Henan in official history and their psycho-linguistic changes based on the classical Chinese Linguistic Inquiry and Word Count (classical Chinese LIWC, CC-LIWC) psycholinguistic dictionary and the classical Chinese words segmentation system, using big data. The research found that the frequency of male words in Henan historical celebrities (F = 2.938, p < 0.05), of differ words (F = 4.767, p < 0.01), of motion words (F = 4.042, p < 0.01), and of time words (F = 5.412, p < 0.01) are significantly different among the five dynasties. The conclusion is that during the Spring and Autumn and the Warring States periods, 100 schools of thought contended, and the status of “scholars” in Henan rose. The frequency of male and differ words was at that point significantly higher than during the other dynasties. From “The Contention of a Hundred Schools of Thought” to “The Supremacy of Confucianism,” the scholars in Henan were in decline, and differential cognitive tendencies had diminished since the Han dynasty. During the period of the Three Kingdoms and Jin and Southern and Northern Dynasties, political powers and territories changed, and the historical celebrities in Henan show a remarkable tendency that were related to time and space. The psycho-linguistic changes found in this study are highly consistent with the development of social history, which indicates that the guidance of the social, political, and cultural environment has an important influence on the psycho-linguistic changes of social class. This is the first time that the text analysis system has been applied in classical Chinese to carry out quantitative research on the psycho-linguistic changes of ancient Chinese people, which provides new ideas and new methods for humanistic research.

The National Library of Australia operates the "http://trove.nla.gov.au/people">Trove People and Organisations zone which allows users to access information about significant people and organisations (parties) as well as related biographical and contextual information.

The Trove People and Organisations dataset is based on the Australian Name Authority File, a unique resource maintained since 1981 by Australian libraries which contribute their holdings to "http://librariesaustralia.nla.gov.au">Libraries Australia. The Trove People and Organisations zone plays an important role in exposing records about parties and linking to them in libraries and other collecting institutions. The data also provides links to resources by and about a party and relationships between parties.

To further enrich the service the Library is collaborating with organisations that already make available information about people and organisations in their specific domains and linking to them.

The API to this dataset provides access to 885,000 identities.

Dataset-“Celebrities to lean on!” Perceived celebrity social support across two cultures