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

How high is the brand awareness of Truth Social in the United States?When it comes to social media users, brand awareness of Truth Social is at 28 percent 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 Truth Social in the United States?In total, 5 percent of U.S. social media users say they like Truth Social. However, in actuality, among the 28 percent of U.S. respondents who know Truth Social, 18 percent of people like the brand.What is the usage share of Truth Social in the United States?All in all, 3 percent of social media users in the United States use Truth Social. That means, of the 28 percent who know the brand, 11 percent use them.How loyal are the users of Truth Social?Around 2 percent of social media users in the United States say they are likely to use Truth Social again. Set in relation to the 3 percent usage share of the brand, this means that 67 percent of their users show loyalty to the brand.What's the buzz around Truth Social in the United States?In February 2024, about 5 percent of U.S. social media users had heard about Truth Social in the media, on social media, or in advertising over the past four weeks. Of the 28 percent who know the brand, that's 18 percent, meaning at the time of the survey there's little buzz around Truth Social 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.

This is the multimodal SWELL knowledge work (SWELL-KW) dataset for research on stress and user modeling. The dataset was collected in an experiment, in which 25 people performed typical knowledge work (writing reports, making presentations, reading e-mail, searching for information). We manipulated their working conditions with the stressors: email interruptions and time pressure. A varied set of data was recorded: computer logging, facial expression from camera recordings, body postures from a Kinect 3D sensor and heart rate (variability) and skin conductance from body sensors. Our dataset not only contains raw data, but also preprocessed data and extracted features. The participants' subjective experience on task load, mental effort, emotion and perceived stress was assessed with validated questionnaires as a ground truth. The resulting dataset on working behavior and affect is suitable for several research fields, such as work psychology, user modeling and context aware systems.The collection of this dataset was supported by the Dutch national program COMMIT (project P7 SWELL). SWELL is an acronym of Smart Reasoning Systems for Well-being at Work and at Home. Note on downloading the data:Due to the size of the dataset and number of files, it is not possible to download all files at once. It is possible to download selections. Please contact DANS via info@dans.knaw.nl when you wish to use all files.Notes on the content of the dataset:- The uLog XML files refer to documents in the dataset. Most extensions of these files have changed due to file conversions. The original extension is now included in the file names at the end.- Due to copyrights not all original documents and images are included in the dataset.- Variable C in 'D - Physiology features (HR_HRV_SCL - final).csv' refers to the type of block, 1, 2 or 3.

People tend to be bad at explicitly detecting lies. However, indirect veracity judgments and physiological responses may yield above-chance levels of accuracy in differentiating lies from the truth. If lies induce a threat response, vasoconstriction should reduce peripheral cutaneous blood flow, leading to finger temperature drops when confronted with a lie compared to the truth. Participants (N = 95) observed people telling lies or the truth about their social relationships, during which participants’ fingertip temperature was recorded via infrared thermal imaging. Results suggested that the accuracy of explicit veracity categorizations remained at chance levels. Judgments of story-tellers’ likability and trustworthiness as indirect veracity measures, as well as observers’ fingertip temperatures as a physiological veracity measure significantly differed between lies and true stories. However, the effects pointed in the opposite direction of our expectations: participants liked liars better than truth-tellers and trusted liars more; and fingertip temperatures increased while confronted with lies compared to true stories. We discuss that studying observers’ physiological responses may be a useful window to lie detection, but requires future investigation.

Data derived from weekly public opinion polls in the Netherlands in 1996 concerning social and political issues. Samples were drawn from the Dutch population aged 18 years and older.All data from the surveys held between 1962 and 2000 are available in the DANS data collections.Background variables:Sex / age / religion / income / vote recall latest elections / party preference / if stated not knowing what party to vote for at next elections: what party will have most chances that respondent will vote for? / level of education / union membership / professional status / left‐right rating / party alignment / province / degree of urbanization / weight factor.Topical variables:n9605: If VVD will be largest party after elections, whom from VVD for prime-minister: Bolkestein / Wiegel / Someone else.n9606: If VVD will be largest party after elections, whom from VVD for prime-minister: Bolkestein / Wiegel / Someone else.n9607: If VVD will be largest party after elections, whom from VVD for prime-minister: Bolkestein / Wiegel / Someone else.n9608: If VVD will be largest party after elections, whom from VVD for prime-minister: Bolkestein / Wiegel / Someone else.n9615: Who to decide how to govern our country: Bolkestein, Borst, Heerma, de Hoop Scheffer, Jorritsma, Kok, Lubbers, van Mierlo, Rosenmuller, Rottenberg, Sorgdrager, Terpstra, Wallage, Wiegel, Wolffensperger / In two years time new Parliamentary elections: from what parties should there be ministers in Dutch cabinet? / Knowing what parties form government at this time? / Mention parties that form present government / Who to become prime-minister after elections in two years' time?n9634: Type of people in general speaking truth, being honest teachers, doctors, priests, vicars, TV-newsreaders, professors, judges, 'man or woman in the street', police, survey researchers, civil servants, union-leaders, business-people, politicians, ministers, journalists, scientists (for example natural scientists, chemical scientists, etc.). Reading specific newspapers like: Algemeen Dagblad, De Telegraaf, Het Nieuws van de Dag, NRC Handelsblad, Het Parool, Trouw, De Volkskrant. Reading these newspapers regularly or not.n9636: Statements about politicians and political parties: Members of Parliament are not concerned with opinions of people like me / At elections political parties only interested in somebody's vote not in one's opinion.n9638: Placing particular political parties on left-right scale: CDA, PvdA, VVD, D66. Placing particular politicians on left-right scale: Bolkestein, de Boer, Heerma, de Hoop Scheffer, Jorritsma, Kok, Lubbers, van Mierlo, Wallage, Wiegel, Wolffensperger, Weijers. Data derived from weekly public opinion polls in the Netherlands concerning social and political issues. Samples were drawn from the Dutch population aged 21 or 18 years and older. The weekly data are available as separate files in annual records, containing overviews of the standard background variables as well as the topical variables.The dataset 'NIPO weeksurveys 1962-2000 (Creator: R.N. Eisinga, Radboud Universiteit Nijmegen' ) contains a cumulative datafile with a selection of the standard background variables: political party vote last election / political party vote intention / left-right political self-rating / union membership / sex / age / religious denomination / education / income / occupational status / province / municipality size and codes / postal code.

The eighth of 20 years of International Social Survey Programme (ISSP) surveys within New Zealand by Professor Philip Gendall, Department of Marketing, Massey University.A verbose rundown on topics covered follows.Attitudes towards religious practices. Assessment of personal happiness; assessment of the responsibility of the government regarding creation of jobs and equalization of incomes; attitude to pre-marital as well as extra-marital sexual intercourse; attitude to homosexuality and abortion; judgement on distribution of roles in marriage and attitude to working women; attitude to living together with a partner before marriage and also without intent to marry; tax honesty and attitude to honesty of citizens towards the government; trust in other people as well as institutions such as parliament, businesses, industry, churches, judiciary and schools.Attitude to influence of church leaders on voters and governments; attitude to benefit of modern science; greater trust in science than in religion; more conflicts instead of peace from religions; intolerance of very religious people; too much influence of religion in one’s country; frequency of personal honorary activities in the last year in political, charitable, religious or other organisations; judgement on the power of churches and religious organisations; doubt or firm belief in God; perceived nearness to God; belief in a life after death, heaven, hell and miracles.Attitude to the Bible; God is concerned with every human; fatalism; the meaning of life and Christian interpretation of life; religious tie at a turning point in life; religious affiliation of father, mother and spouse/partner; frequency of church attendance of father and mother; personal direction of belief and frequency of church attendance when young; frequency of prayer and participation in religious activities; self-classification of personal religiousness; truth in one or in all religions; priority for loyalty to a friend before truth; anticipation of false testimony for the benefit of a friend; belief in lucky charms, fortune tellers, miracle healers and horoscopes; conversion of faith after crucial experience; concept of God; judgement on the world and people as good or bad; social rules or God’s laws as basis for deciding between right and wrong.Demography: sex; age, marital status; living together with a partner; school education; type and time extent of occupation activity; occupation (ISCO-Code); private or public employer; occupational self-employment and number of employees; supervisor function and span of control; time worked each week; income; household size; composition of household; number of co-workers; union membership; party inclination and election behaviour; self-classification on a left-right continuum; religious affiliation; frequency of church attendance; self-classification of social class.Also encoded were: region; rural or urban area; city size; ethnic identification.