In 2019, everyday retail brands such as Forever21 or Fashion Nova generated a total of *** total social media actions. Luxury retail brands generated the second-most user engagement on social media with *** million actions. Online retail or big box retail had the smallest social media engagement, earning only **** million social media actions in the year.

This dataset tracks annual total students amount from 2009 to 2023 for Cornerstone Academy For Social Action

This dataset tracks annual total classroom teachers amount from 2009 to 2023 for Cornerstone Academy For Social Action

Whereas the amount of social media content posted by U.S. publishers has declined by ***** percent in 2019, user engagement per post has increased. Overall, U.S. content publishers in the family genre a ** percent increase on cross-platform social media actions per post. The finance and sporting industry performed best in terms of overall user actions, increasing overall audience engagement by ** percent each.

This dataset tracks annual total students amount from 2009 to 2023 for Academy For Social Action-a College Board School

Comprehensive YouTube channel statistics for たかまつななのSocial Action!, featuring 232,000 subscribers and 78,944,454 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the News-&-Politics category and is based in JP. Track 1,717 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

The graph shows leading U.S. leading celebrities in the United States on social media in 2019, based on total cross-platform actions on social media. As of the measured period, Kylie Jenner had the highest user engagement with *** billion cross-platform actions, while second-placed Ariana Grande had a user engagement total of *** billion cross-platform actions.

This dataset tracks annual total classroom teachers amount from 2009 to 2023 for Academy For Social Action-a College Board School

Historical Dataset of Cornerstone Academy For Social Action is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2009-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2009-2023),American Indian Student Percentage Comparison Over Years (2011-2023),Asian Student Percentage Comparison Over Years (2008-2023),Hispanic Student Percentage Comparison Over Years (2009-2023),Black Student Percentage Comparison Over Years (2009-2023),White Student Percentage Comparison Over Years (2009-2023),Two or More Races Student Percentage Comparison Over Years (2015-2023),Diversity Score Comparison Over Years (2009-2023),Free Lunch Eligibility Comparison Over Years (2008-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2008-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2012-2023),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2012-2023)

Global Total Hours Worked in Residential Care and Social Work Activities by Country, 2023 Discover more data with ReportLinker!

IntroductionA long-term engagement (LTE) intervention was embedded in a social marketing campaign aimed at motivating quit attempts among Canadian adult commercial tobacco users 35 to 64 years of age. The purpose of this study was to examine the effectiveness and appeal of LTE within a marketing campaign.Methods3,199 Canadians who smoked cigarettes aged 35–64 recruited using Facebook and Instagram advertisements were randomized into Intervention and Control groups. Over the course of two years, Intervention Group participants received monthly emails connecting them to campaign news and activities, Mini Surveys to inform campaign refinement, feedback opportunities via focus groups and interviews, financial incentives, and proactive knowledge exchange presenting study findings. Both groups responded to a baseline and follow-up surveys every six months.ResultsLTE Intervention Group participants engaged frequently with emails (unique opens, open rates, click rates, and total clicks). Compared with Control Group members, they had significantly higher rates of: unaided and aided campaign awareness; engagement with the social marketing campaign (website visits, social media visits, likes/shares); actions towards making quit attempts; quit attempts. Many participants expressed feelings of motivation, support, and a sense of belonging.ConclusionsWhen embedded in a social marketing campaign, meaningful long-term engagement of adults who smoke cigarettes shows promise as an intervention to promote quitting behaviors.ImplicationsActive long-term engagement can significantly amplify the effects of social marketing campaigns aimed at promoting quit smoking behaviours among adults. The active engagement approach applied indicates that frequent long-term engagement is more effective when done in a more holistic, empathetic manner. The intervention also allows for real-time learning to support campaign development.Trial registrationISRCTN94797633.

In 2023, over 56 percent of the time spent on social media platforms for users in the United States was spent on social video activities. This represents an increase from the previous year, when the time spent engaging with social video among U.S. users was of around 53.3 percent, compared to 46.7 percent of the total social media time spent on other social network activities.

This dataset presents year and month wise enforcement actions taken by Significant Social Media Intermediaries (SSMIs) from 2021 to the present, compiled from the mandatory monthly transparency reports published under Rule 4(1)(d) of the Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021. It includes counts of content removed, accounts suspended or banned, and chatrooms, comments, edit profiles and livestreams restricted, along with the policy or violation category (e.g., child sexual exploitation, terrorism, hate speech, bullying, violence, regulated goods, misinformation, etc.).

To enable comparability across platforms with different reporting terms, the dataset uses a standardised enforcement classification:

1. enforcement_type:

The type of action taken: a. Content Actioned (any enforcement such as warning, downranking, age-gating), b. Content Removed (content deleted or made inaccessible), c. Account Banned (account suspension or disabling), d. Quality Metric (AI moderation accuracy indicators reported by some platforms).

1. proactive_flag:

Whether the platform identified and enforced before user reports: a. Proactive = Found via automated detection or internal review systems, b. Unknown = Platform did not specify proactive vs reactive.

Notes: 1. SSMI denotes to Significant Social Media Intermediaries, with over 50,00,000 registered users in India, which primarily or solely enables online interaction between two or more users and allows them to create, upload, share, disseminate, modify or access information using its services

1. Facebook & Instagram (Meta) a. Content Actioned counts any enforcement, not only removals (e.g., removals, warning screens/covering, age gates, downranking). b. Proactive Rate = (items found & actioned proactively) ÷ (total content actioned).

2. X/Twitter a. Child Sexual Exploitation and terrorism suspensions are largely proactive, flagged using proprietary tools and industry hash-sharing systems. b. Data reflects global enforcement, not only India.

3. Google / YouTube a. Number of removal actions as a result of automated detection captures actions triggered by automated systems (ML + human-trained models).

4. ShareChat a. Content Removed / Taken Down / UGC discard / Comments/Chatrooms deleted are standardised as Content Removed. b. Also includes rights-holder reporting workflow for copyright/IP and automated proactive monitoring for harmful content.

5. WhatsApp a. Reports Proactively Banned Accounts, meaning accounts banned before any user reports.

6. Koo a. Distinguishes between Content Removed, Content Actioned (flagged/downranked), and Account Banned. b. Automation Correct/Wrong reflect AI moderation accuracy, not enforcement outcomes.

Comprehensive dataset containing 48 verified Communal Center for Social Action locations in France with complete contact information, ratings, reviews, and location data.

List of departmental and contracted public reception sites for social and medico-social action in Hauts-de-Seine.

The Territorial Solidarity Services (SST) offers a solidarity service from the 1st to the Great Age for the inhabitants of Hauts-de-Seine. The teams of professionals present on site are organised to ensure:

• welcome for all, complete information and guidance, support for users in their digital processes of opening up and maintaining rights with the administrations;
• multidimensional assessment of all vulnerabilities and situations of tension, including child protection and the prevention of evictions;
• construction with users, accompanying paths, taking into account the person and the family in all dimensions of their life (integration, employment, housing, financial problems, parenthood, maternal and child protection, family planning and education, etc.).

This dataset presents the list of reception sites of the departmental and agreed public in the field of social and medico-social action of Hauts-de-Seine. It allows to know the location and characteristics of these sites in the departmental territory.

Lexic

ASE Children’s social assistance

IAS Insertion and Social Action

PMI Maternal and child protection

CSS Sexual Health Centre

EI Insert space

SST Territorial Solidarity Service

MDPH Departmental House of Disabled Persons

Related data

Department of Hauts-de-Seine

Early childhood, PMI follow-up

Family planning and education

Territorial solidarity services

Number of actions implemented by area of intervention

The National Youth Social Action Survey was established in 2014 to measure the extent to which 10 to 20 year olds are taking part in social action in the UK. The survey was commissioned by the Cabinet Office in 2014 and 2015 and by the Department for Digital, Culture, Media and Sport (DCMS) in 2016 to 2019, and conducted by Ipsos Mori on behalf of the #iwill campaign.

The #iwill campaign, launched in 2013, aims to close the socio-economic gap in social action participation amongst 10 to 20 year olds while increasing overall participation. For the purposes of the campaign, social action is defined as 'practical action in the service of others to create positive change' and covers a wide range of activities that help other people or the environment, such as fundraising, campaigning, tutoring/mentoring and giving time to charity.

The survey captures a yearly snapshot of the beliefs, attitudes and behaviours linked with social action of a representative sample of over 2,000 young people in the UK. The same methodology has been used each year to allow comparisons over time. Data are weighted by age within gender, region and the family socio-economic status to reflect the known profile of the UK population.

The National Youth Social Action Survey, 2019 is the sixth survey in the series and is also known as Wave 6.

This statistic displays the total purchases of goods, materials and services in social work activities without accommodation in the United Kingdom (UK) from 2008 to 2022. In 2022, the total purchases of goods, materials and services in social work activities without accommodation amounted to nearly ************ British pounds.

This is the total gross value added (GVA) generated from human health and social work activities in the area calculated using a balanced approach to GVA.These figures are presented in £ millions at current basic prices. They do not allow for different regional price levels or changes in prices over time (inflation). Balanced GVA estimates are produced by combining the existing income and production GVA estimates using weighted quality metrics.

Income GVA estimates are calculated by adding up the income generated by individuals or corporations in the production of goods and services whilst the Production Approach estimates GVA by calculating the total output of goods and services less the value of goods and services used up in the production process. A Balanced approach evaluates the strengths and weaknesses of these two opposing approaches and gives them an appropriate weighting in informing a single ‘balanced’ estimate of GVA.

GVA estimates are on a workplace basis, that being they are allocated to where the economic activity took place. Please note, figures can be rather volatile. If you see erratic movements in the time series, you should use caution in interpreting the data.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

This dataset tracks annual total students amount from 2011 to 2023 for Cornerstone Academy For Social Action Middle School (Casa)