Meta Platforms had ****** full-time employees as of December 2024, down from ****** people in 2023. As of December 2023, more than ******* employees at tech companies worldwide were laid off throughout the year across more than 1,000 companies. Facebook: how it all beganIn 2003, a sophomore at named Mark Zuckerberg hacked into protected areas of the university's computer network in order to find photos of other students. He then would pair two of them next to each other on a program called “Facemash” and ask users to choose the more attractive person. At the beginning of 2004, Zuckerberg launched “The Facebook,” a social network dedicated to Harvard students, which later grew to encompass Columbia, Yale and Stanford. The popularity of this new service sky-rocketed and in mid-2004, Zuckerberg interrupted his studies and moved his operation to Palo Alto, California, in the heart of Silicon Valley. By 2006, Facebook was open to the general public. In 2020, the company reported almost ** billion U.S. dollars in revenue and a net income of ***** billion US dollars. It is also the most popular social network in the world, with *** billion monthly active users as of December 2020. Facebook employee diversity criticismLike many other tech companies, Facebook has been criticized for having a diversity problem. As of June 2020, tech positions, as well as management roles in U.S. offices were overwhelmingly occupied by men. Furthermore, almost ** percent of Facebook employees in the U.S. are White and only *** percent are African-American, which has sparked concern regarding representation and equal opportunities. Around **** percent of senior level positions are occupied by White employees and only *** percent by Hispanic-Americans.

Our tabular dataset offers comprehensive B2B contact information extracted from import and export trades designed to fuel lead generation efforts. With meticulous field-checking processes, our data is a reliable resource for businesses seeking to expand their networks and explore new trade opportunities.

Each entry in our dataset undergoes rigorous validation protocols to ensure accuracy and completeness. Our quality control measures include cross-referencing multiple sources, verifying contact details, and validating trade information against authoritative databases. Maintaining high data integrity standards guarantees that our clients receive actionable insights to drive their business strategies forward.

The dataset encompasses many industries, capturing import and export trades across diverse sectors and regions. Our dataset provides a panoramic view of global trade dynamics from manufacturing to technology, agriculture to healthcare. With detailed information on products, quantities, and trading partners, businesses can identify promising leads, forge strategic partnerships, and capitalize on emerging market trends.

Our dataset offers substantial coverage in terms of scale, encompassing millions of trade transactions and B2B contacts worldwide. Whether clients seek to explore new markets, source reliable suppliers, or connect with potential buyers, our dataset is a valuable asset for informed decision-making.

On the data marketplace, we offer flexible licensing options tailored to meet the diverse needs of our clients. Whether they require a subset of data for targeted campaigns or the entire dataset for comprehensive market analysis, we provide customizable solutions to accommodate varying requirements.

Our commitment to transparency and data privacy ensures that clients can confidently leverage our dataset, knowing that their information is handled with the utmost care and security. We adhere to stringent data protection regulations and industry best practices, safeguarding sensitive information and fostering trust among our clientele.

Our tabular dataset of import and export trades B2B contacts represents a goldmine of opportunities for businesses seeking to expand their global footprint. With unparalleled accuracy, breadth, and flexibility, it is a cornerstone for successful lead generation and strategic decision-making in today's dynamic marketplace.

Fields: - First Name - Last Name - Title - Company - Company Name for Emails - Email - Seniority - Departments - First Phone - Corporate Phone - Employees - Industry - Person Linkedin Url - Website - Company Linkedin Url - Facebook Url - City - State - Country - Company Address - Company City - Company State - Company Country - Company Phone - Technologies - Annual Revenue

The ICT Access Centres branded AccessTT, provide underserved or ICT-excluded communities with a world of opportunities through ICT devices and the internet. The AccessTT General Information is a list of AccessTT Centres completed and outfitted by Ministry of Digital Transformation (MDT). We invite visitors to 'Connect and Create' at each Centre, using the Centre's modern computer stations and printing facilities. Want to attend or facilitate a training session or virtual meeting? Explore possibilities to 'Educate and Innovate' in the training hubs at each location. Each Centre is managed by professional, friendly staff who reside within the community or environs to provide assistance with access to government services, online educational training resources and information about using digital technology. You can email mdt-corporatecommunications@gov.tt and join us at Facebook https://www.facebook.com/AccessTT to get more daily information on the AccessTT Centres.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The EmpatheticDialogues dataset is a large-scale multi-turn empathetic dialogue dataset collected on the Amazon Mechanical Turk, containing 24,850 one-to-one open-domain conversations. Each conversation was obtained by pairing two crowd-workers: a speaker and a listener. The speaker is asked to talk about the personal emotional feelings. The listener infers the underlying emotion through what the speaker says and responds empathetically. The dataset provides 32 evenly distributed emotion labels.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

This is a collection of 15 qualitative interviews with families who currently host or have hosted an au pair in the UK. The interviews asked about motivations for hosting an au pairs, how the au pair fits in to family life and how hosting an au pair to carry out childcare fits with hosts' childcare philosophies. This project investigates the lives of au pairs and host families in the UK. Au pairs are now depended upon by thousands of British households to provide childcare and help with housework and there is evidence that au pairs are now less distinguishable from other domestic workers. However, au pairs are not protected by employment law. They have no right to a minimum wage, nor defined maximum working hours nor a right to holidays. The project aims are: to investigate the effects of changes to recent UK immigration legislation on the supply of au pairs within the UK. to examine the place of au pairing in the life and work trajectories of au pairs. to evaluate the subjective experience of au pairs. to examine understandings of au pairing within host families’ narratives of (good) parenting. The project uses four methods: an on-line survey and analysis of existing data to provide an overview of the nature and extent of au pairing in the UK; in-depth interviews with au pairs to explore their experiences; interviews with host families to uncover how au pairing to fits with their identity as parents and interviews with key informants to provide context. We interviewed 15 au pair hosts who between them had hosted over 50 au pairs over a number of years We aimed to interview 40 people (men and women) who had employed or who currently did employ someone they identified as an ‘au pair’ We were surprised to find that making contact with employers of au pairs who were prepared to be interviewed about their experiences was one of the most challenging aspects of the project. The surprise was because based on experiences of previous research projects we had assumed that we would be able to make contact with employers more easily through agencies, personal contacts, advertising on websites such as mumsnet and through snowballing. However, we found this was not the case and it was a frustrating aspect of the project. We offered a £10 M&S voucher to all those interviewed. Agencies We contacted au pair agencies to ask if we could send out a flier to employers on their books but we had no response. We attempted to make contact with employers by posting ads on facebook pages used by families seeking an au pair and by placing ads on sites such as mumsnet and netmums. We had no success with the facebook postings and very limited success with the ad on mumsnet. We found the only reliable method for recruiting employers willing to be interviewed was through personal contacts and word of mouth. This was limited to the number of people who fit the criteria for interview that we knew or could make contact with through friends and contacts. Also, for one of the two interviews who drew on contacts through her neighbourhood network and through her children’s school, this risked blurring boundaries between personal and professional and meant that she felt uncomfortable with interviewing people she had daily contact with.

United States CPI W: FB: Food: Food at Home (Home) data was reported at 238.261 1982-1984=100 in Jun 2018. This records a decrease from the previous number of 238.285 1982-1984=100 for May 2018. United States CPI W: FB: Food: Food at Home (Home) data is updated monthly, averaging 98.450 1982-1984=100 from Jan 1947 (Median) to Jun 2018, with 858 observations. The data reached an all-time high of 242.970 1982-1984=100 in Oct 2015 and a record low of 24.400 1982-1984=100 in Feb 1947. United States CPI W: FB: Food: Food at Home (Home) data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I012: Consumer Price Index: Urban Wage and Clerical Workers.

The increasing popularity and use of digital platforms and social media such as WhatsApp, Facebook, YouTube and Instagram are opening up new opportunities for children, young people and adults to pursue cultural interests or to stage themselves aesthetically. If we focus on young people between the ages of 12 and 19, a number of studies on media use show that YouTube in particular has become the leading medium for this age group. Given the growth in importance of this web video platform, questions arise about the receptive and productive content of experience and the significance of cultural content and practices. Furthermore, there are hardly any findings on the extent to which YouTube stimulates young people to engage in cultural activities and self-organized learning processes. The sample is composed of n=818 adolescents aged 12-19 years. The selection of the study units was based on a quota procedure. The adolescent target subjects were recruited via the IFAK interviewer staff according to predefined quotas for age, gender, region, place size class, type of school attended (for students), and occupation (for non-students). The characteristics "age and gender" and "region and place size" were crossed or combined with each other to produce as accurate a representation of the population as possible. The characteristic "migration background" was not used as a quota characteristic. The specifications for this are based on the latest data from the Federal Statistical Office and ma Radio 2018 II. The structural composition of the sample corresponds to the data for the population according to the characteristics mentioned. The study was conducted as a face-to-face oral survey. The answers of the young people were recorded by an interviewer on a laptop via a corresponding survey program. 111 face-to-face interviewers from the in-house interviewing staff, who have experience in interviewing children and adolescents, were used. The predefined questionnaire was binding for all interviewers with regard to the wording and sequence of questions. The maximum number of interviews per interviewer was n=10. Each interviewer received a detailed written briefing on the project at the beginning of the study. Die zunehmende Verbreitung und Nutzung digitaler Plattformen und sozialer Medien wie z. B. WhatsApp, Facebook, YouTube oder Instagram eröffnen Kindern, Jugendlichen und Erwachsenen neue Möglichkeiten, kulturellen Interessen nachzugehen oder sich ästhetisch zu inszenieren. Richtet man seinen Blick auf Jugendliche im Alter von 12 bis 19 Jahren, so zeigt eine Reihe von Studien zur Mediennutzung, dass sich insbesondere YouTube zum Leitmedium dieser Altersgruppe entwickelt hat. Angesichts des Bedeutungszuwachses dieser Webvideo-Plattform stellen sich Fragen nach den rezeptiven und produktiven Erfahrungsgehalten sowie der Bedeutung kultureller Inhalte und Praktiken. Weiterhin existieren kaum Erkenntnisse darüber, inwiefern YouTube die Jugendlichen zu kulturellen Aktivitäten und selbstorganisierten Lernprozessen anregt. Die Stichprobe setzt sich aus n=818 Jugendlichen im Alter von 12-19 Jahren zusammen. Die Auswahl der Untersuchungseinheiten erfolgte auf der Grundlage eines Quotenverfahrens. Die Rekrutierung der jugendlichen Zielpersonen erfolgte über den IFAK-Interviewerstab nach vorgegeben Quoten für Alter, Geschlecht, Region, Ortsgrößenklasse, besuchter Schultyp (bei Schülern) und Berufstätigkeit (bei Nicht-Schülern). Dabei wurden die Merkmale „Alter und Geschlecht“ sowie „Region und Ortsgröße“ gekreuzt bzw. miteinander kombiniert, um ein möglichst genaues Abbild der Grundgesamtheit herzustellen.Das Merkmal „Migrationshintergrund“ wurde nicht als Quotierungsmerkmal herangezogen. Die Vorgaben hierfür basieren auf den aktuellsten Angaben des Statistischen Bundesamtes und der ma Radio 2018 II. Die strukturelle Zusammensetzung der Stichprobe entspricht nach den genannten Merkmalen den Daten für die Grundgesamtheit. Die Studie wurde als persönlich-mündliche Befragung durchgeführt. Die Antworten der Jugendlichen wurden dabei über ein entsprechendes Befragungsprogramm von einem Interviewer auf einem Laptop erfasst. Zum Einsatz kamen 111 face-to-face Interviewer aus dem hauseigenen Interviewerstab, die Erfahrungen mit der Befragung von Kindern und Jugendlichen haben. Der vorgegebene Fragebogen war im Hinblick auf Wortlaut und Reihenfolge der Fragen für alle Interviewer verbindlich. Die maximale Anzahl an Interviews pro Interviewer lag bei n=10. Jeder Interviewer erhielt zu Beginn der Studie eine detaillierte schriftliche Einweisung in das Projekt.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

How much time do people spend on social media? As of 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.