This statistic displays the concerns over personal data protection by websites in the European Union (EU) as of 2019. During the survey period, it was founds that 68 percent of respondents agreed with the statement that personal information was not kept secure by websites.
The majority of the Swedes who took part in a survey conducted on 2019, stated they were concerned that their online information was not kept secure by websites (** percent). ** percent of the respondents disagreed with that statement.
As of 2019, ** percent of the interviewed Finns agreed that their personal information was not kept secure by websites. In contrast, ** percent disagreed with the statemen in the evaluated period.
https://webtechsurvey.com/termshttps://webtechsurvey.com/terms
A complete list of live websites vulnerable to CWE-359, compiled through global website indexing conducted by WebTechSurvey.
The majority of the Danes who took part in a survey conducted on 2019, stated they were concerned that their online personal information was not kept secure by websites (** percent). ** percent of the respondents disagreed with that statement.
A May 2023 survey among U.S. adults found that nearly seven in 10 respondents had changed their social media privacy settings or prevented websites from tracking their personal information. Around half of them stated that they had stopped using a digital service or a product because of data privacy concerns.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
The global cookie and website tracker scanning software market is poised for significant growth, with its market size valued at approximately $1.5 billion in 2023 and projected to reach around $4.2 billion by 2032, reflecting a compound annual growth rate (CAGR) of approximately 12.5%. This market's expansion is largely driven by the increasing emphasis on data privacy regulations and compliance, which necessitates businesses to implement robust solutions for monitoring and managing cookies and website trackers. The growing digitalization across various sectors and the rising consumer awareness regarding data privacy are also contributing significantly to the market's upward trajectory.
One of the primary growth factors propelling the cookie and website tracker scanning software market is the proliferation of stringent data privacy regulations worldwide. Laws such as the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the United States, and other similar legislation globally mandate businesses to enhance their data protection measures. These regulations require organizations to provide transparency regarding data collection practices and ensure that users have control over their personal information. As a result, companies are increasingly adopting cookie and tracker scanning solutions to comply with these legal requirements and avoid potential penalties and reputational damage, thus driving market growth.
Another significant factor contributing to the market's expansion is the escalating awareness and concern among consumers regarding their online privacy. In an era where digital interactions are part and parcel of daily life, consumers are becoming more vigilant about how their data is collected, stored, and utilized by websites. This heightened awareness compels businesses to adopt ethical data practices and implement technologies that offer consumers clear insights into cookie usage and tracking activities. Consequently, organizations are integrating cookie and website tracker scanning software into their operations to enhance user trust and ensure transparency, thereby fostering market growth.
The rapid advancement of technology, leading to increased digitalization, is also a key driver for this market. As businesses across various industries embrace digital transformation, the online ecosystem becomes more complex with an influx of data tracking methods. This complexity necessitates the use of sophisticated tools to monitor, analyze, and manage website trackers effectively. The integration of advanced analytics and AI capabilities into scanning software enables organizations to gain deeper insights into user behavior while ensuring compliance with privacy regulations. This technological evolution is anticipated to further fuel the market's growth over the forecast period.
As the digital landscape continues to evolve, the role of a Consent Management Platform (CMP) becomes increasingly crucial in the realm of data privacy. A CMP serves as a centralized solution for managing user consent across various digital platforms, ensuring that businesses comply with data protection regulations such as GDPR and CCPA. By providing users with clear options to manage their consent preferences, these platforms enhance transparency and trust. Organizations are increasingly integrating CMPs into their operations to streamline consent management processes and reduce the risk of non-compliance. This integration not only helps in maintaining regulatory compliance but also strengthens the relationship between businesses and their users by respecting their privacy choices.
Regionally, North America holds a substantial share in the global cookie and website tracker scanning software market, owing to the early adoption of technology and stringent data privacy regulations in the region. The presence of major technology companies further fuels innovation and development in this market. Europe is also a significant market player, driven by the stringent GDPR regulations that necessitate robust compliance solutions. Meanwhile, the Asia Pacific region is expected to witness the fastest growth rate due to increasing internet penetration, digitalization initiatives, and growing awareness regarding data privacy. As economies in the region continue to develop, the demand for effective data protection solutions is likely to surge, contributing to the market's overall growth.
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
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In recent years, social Q&A sites have developed rapidly, like Zhihu and Quora, with hundreds of millions of users, providing a convenient platform for users to ask questions and share knowledge. Most users share knowledge through real-name answers, but this sometimes hinders knowledge sharing, such as employees sharing company salaries and students sharing inside information about the laboratory. Revealing the author's true identity, in this case, can cause significant harm to the author. In order to tackle the above problems, social question-and-answer websites provide users with an anonymous answer function, which replaces the real author id of the answer with an anonymous id. Countless users who cannot disclose their identities use anonymous answers to share valuable knowledge.
Although there are countless anonymous answers in the Q&A community, few anonymization techniques have been used. The two super-large Q&A sites, Quora and Zhihu, use two anonymization technologies are hiding the author's information and protecting the storage of anonymous user information. However, anonymous answers, questions, comments, and topics and their topological structure contain distinct attributes unknown to most users, providing valuable features for de-anonymization attacks. Although the question-and-answer website warns anonymous users that personal specific information and language styles in answers may lead to privacy leaks, the question-and-answer community cannot give the probability and cause of privacy leaks for a specific anonymous answer.
In this paper, we propose a novel task, the de-anonymization of the Q&A websites, which refers to recovering the identity information of the real author of the anonymous answer. This task aims to evaluate the risk of privacy leakage of a specific anonymous answer in the question-and-answer websites and explain why the answer is vulnerable to de-anonymization.
To explore the effectiveness of various methodologies, we employ web scraping techniques on public answers from online platforms Zhihu and Quora. The first step involves the selection of seed users related to the ten popular topics. We selected one seed user from each topic. This step can ensure that the collected Q&A community dataset encompasses a diverse range of popular topics. In the second step, we recursively crawl the social relationships between users based on the ten seed users crawled in the first step. In order to make the crawled user pool more widely distributed, we only crawled the first 100 following users for each user until the crawled user pool reached 700,000. Step three is to ascertain the users to be ultimately crawled. A community discovery algorithm is employed to identify a community with the highest transitivity. This community must have a population exceeding 5,000. As a result, we will crawl all users in this community. The fourth step involves extracting the data related to all users within the chosen community. To mitigate the issue of excessive data volume, this article sets a constraint on the number of answers collected by individual users during the crawling process. This upper limit ensures that all answers of 95% of users are crawled. The crawled data consists of user homepage information, relationships between users, user-generated questions and answers, and associated comments and topics. Each question includes its title and the name of the person who asked it. Each answer contains the author's name, time of submission, the content of the answer, and any first-level comments. Additionally, each comment includes its author, submission time, and content.
Here is an example code to read the dataset https://www.kaggle.com/tianbaojie/example-code.
This statistic displays the concerns over personal data protection by websites in the United Kingdom (UK) as of October 2019. During the survey period, it was founds that 71 percent of respondents agreed with the statement that personal information was not kept secure by websites.
Topics: measures taken to guarantee online privacy: use of software that protects from seeing online adverts (anti-adware), use of software that prevents online activities from being monitored (anti-spyware), avoidance of certain websites to prevent from being monitored, change of privacy settings on internet browser; importance of selected aspects regarding online privacy: access to personal information only with permission, use of monitoring tools only with permission, guaranteed confidentiality of e-mails and online instant messaging; knowledge test on laws on online privacy: personal information on computer, smartphone, or tablet are only allowed to be accessed with personal permission, interdiction to store external information (e.g. cookies) on personal computer, smartphone, or tablet, confidentiality of instant messaging and online voice conversation; approval of the following statements: providers should give regular software updates to protect personal information, default settings of browser should stop information from being shared, reception of too many commercial calls, encryption of messages and calls should be possible for the user; acceptance of selected measures with regard to monitoring online activities: being monitored in exchange for unrestricted access to a certain website, sharing of personal user information between companies to provide users with new services, pay not to be monitored; desired point of time when visiting a website to be asked for permission to access or to store user information; preferred approach concerning commercial calls: general allowance, allowance only under the condition of displaying phone number, phone numbers should have a special prefix. Demography: frequency of using the following means of communication for selected purposes: fixed phone line, mobile phone to make calls or send text messages, internet to make phone or video calls, internet for instant messaging, e-mail, online social networks, internet to browse online; age; sex; nationality; age at end of education; occupation; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size. Additionally coded was: respondent ID; country; type of phone line; nation group; weighting factor.
Themen: persönliche Maßnahmen zur Gewährleistung des Datenschutzes in der Online-Kommunikation: Nutzung von Software zur Verhinderung der Anzeige von Online-Werbung (Anti-Adware), Nutzung von Software zur Verhinderung der Überwachung der Online-Aktivitäten (Anti-Spyware), Meiden bestimmter Webseiten zur Verhinderung von Überwachung, Änderung der Datenschutzeinstellungen des Internet-Browsers; Wichtigkeit ausgewählter Aspekte in Bezug auf E-Privacy: Zugriff auf persönliche Daten nur nach vorheriger Zustimmung, Nutzung von Tools zur Überwachung nur nach vorheriger Zustimmung, garantierte Vertraulichkeit von E-Mails und Instant Messaging im Internet; Wissenstest zu Gesetzen zu E-Privacy: Zugriff auf persönliche Daten auf Computer, Smartphone oder Tablet nur nach vorheriger Zustimmung, Speicherverbot für externe Informationen (z.B. Cookies) auf Computer, Smartphone oder Tablet, Gewährleistung der Vertraulichkeit von Instant messaging- und online erfolgender Sprachkommunikation; Zustimmung zu den folgenden Aussagen: Provider sollten regelmäßige Updates zum Schutz persönlicher Daten zur Verfügung stellen, Browser-Standardeinstellungen sollten die Weitergabe von Informationen verhindern, Empfang zu vieler unaufgeforderter kommerzieller Anrufe, Möglichkeit zur Verschlüsselung von Nachrichten und Anrufen durch den Benutzer; Akzeptanz ausgewählter Maßnahmen im Hinblick auf die Überwachung von Online-Aktivitäten: Erlauben von Überwachung im Gegenzug für uneingeschränkten Zugang zu einer bestimmten Webseite, Austausch von Nutzerdaten zwischen Unternehmen zur Verbesserung personalisierter Angebote, Entrichtung eines Geldbetrags zur Gewährleistung der Anonymität; präferierter Zeitpunkt beim Webseitenbesuch für die Einholung der Erlaubnis zum Zugriff auf oder des Speicherns von persönlichen Daten; präferierte Regelung in Bezug auf kommerzielle Anrufe: generelle Erlaubnis, Erlaubnis unter der Voraussetzung des Anzeigens der Telefonnummer, spezielle Vorwahl für Werbeanrufe. Demographie: Häufigkeit der Nutzung der folgenden Kommunikationsmittel für ausgewählte Zwecke: Festnetzanschluss, Mobiltelefon für das Tätigen von Anrufen oder Senden von Textnachrichten, Internet für das Tätigen von Telefon- oder Videoanrufen, Internet für Instant Messaging, E-Mail, soziale Netzwerke im Internet, Internet zum Surfen; Alter; Geschlecht; Staatsangehörigkeit; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Region; Urbanisierungsgrad; Besitz eines Mobiltelefons; Festnetztelefon im Haushalt; Haushaltszusammensetzung und Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Land; Interviewmodus (Mobiltelefon oder Festnetz); Nationengruppe; Gewichtungsfaktor. Topics: measures taken to guarantee online privacy: use of software that protects from seeing online adverts (anti-adware), use of software that prevents online activities from being monitored (anti-spyware), avoidance of certain websites to prevent from being monitored, change of privacy settings on internet browser; importance of selected aspects regarding online privacy: access to personal information only with permission, use of monitoring tools only with permission, guaranteed confidentiality of e-mails and online instant messaging; knowledge test on laws on online privacy: personal information on computer, smartphone, or tablet are only allowed to be accessed with personal permission, interdiction to store external information (e.g. cookies) on personal computer, smartphone, or tablet, confidentiality of instant messaging and online voice conversation; approval of the following statements: providers should give regular software updates to protect personal information, default settings of browser should stop information from being shared, reception of too many commercial calls, encryption of messages and calls should be possible for the user; acceptance of selected measures with regard to monitoring online activities: being monitored in exchange for unrestricted access to a certain website, sharing of personal user information between companies to provide users with new services, pay not to be monitored; desired point of time when visiting a website to be asked for permission to access or to store user information; preferred approach concerning commercial calls: general allowance, allowance only under the condition of displaying phone number, phone numbers should have a special prefix. Demography: frequency of using the following means of communication for selected purposes: fixed phone line, mobile phone to make calls or send text messages, internet to make phone or video calls, internet for instant messaging, e-mail, online social networks, internet to browse online; age; sex; nationality; age at end of education; occupation; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size. Additionally coded was: respondent ID; country; type of phone line; nation group; weighting factor.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Privacy concerns are a key predictor of information sharing, yet some critical issues remain unclear. Based on social capital theory, this study argues that the relationship between privacy concerns and information sharing is a U-shaped curve. Users with privacy concerns would not share their private information; however, such users would eventually share their information as long as they trust the website and its members. Furthermore, this study provides a contingency perspective, suggesting that the curvilinear relationship between privacy concerns and information sharing varies with the system evaluation perception and personal motivation levels. The results show that at a high level of system evaluation, the relationship between privacy concerns squared and information sharing is non-significant. In contrast, at a low level of system evaluation, there is a U-shaped relationship between privacy concerns and information sharing. Regarding motivation, the results were congruent with our expectations.
https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do
The cell phone search information search service provided by the Crime Prevention Policy Division of the National Police Agency supports searching for cell phone information, including lost smartphones, through the National Police Agency website. Users can use information such as the model of the lost cell phone, the area where it was found, and the period of finding to check whether it has been found. In addition, the function to search for detailed information on the found cell phone can help the loser determine whether it is his or her phone by checking the appearance or features of the found device. This service is expected to help with the quick return of lost cell phones and prevent additional damage such as personal information leaks. Losers can easily check the information on finding their cell phones through the National Police Agency website.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The data is for COVID-19 clinics.\r \r From 20 October 2023, COVID-19 datasets will no longer be updated. \r Detailed information is available in the fortnightly NSW Respiratory Surveillance Report: https://www.health.nsw.gov.au/Infectious/covid-19/Pages/reports.aspx. \r Latest national COVID-19 spread, vaccination and treatment metrics are available on the Australian Government Health website: https://www.health.gov.au/topics/covid-19/reporting?language=und \r \r This dataset provides data on COVID-19 testing and assessment clinics by geolocation, address, contact details, services provided and opening hours.\r \r This data is subject to change as clinic locations are changed.\r \r The Government has obligations under the Privacy and Personal Information Protection Act 1998 and the Health Records and Information Privacy Act 2002 in relation to the collection, use and disclosure of the personal, including the health information, of individuals. Information about NSW Privacy laws is available here: https://data.nsw.gov.au/understand-key-data-legislation. \r \r The information published about COVID-19 clinics does not include any information to directly identify individuals, such as their name, date of birth or address.\r \r Other governments and private sector bodies also have legal obligations in relation to the protection of personal, including health, information. The Government does not authorise any reproduction or visualisation of the data on this website which includes any representation or suggestion in relation to the personal or health information of any individual. The Government does not endorse or control any third party websites including products and services offered by, from or through those websites or their content.\r \r For any further enquiries, please contact us at datansw@customerservice.nsw.gov.au
https://www.icpsr.umich.edu/web/ICPSR/studies/2719/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2719/terms
This special topic poll, fielded January 27-February 2, 1999, queried respondents on their attitudes regarding the Internet. Through a telephone survey, respondents were asked a series of questions about their awareness of, access to, understanding of, and usage of computers, electronic mail, the Internet, and online services. Those queried were asked whether their contact with this technology was limited or extensive and for work or personal use, whether computers and the Internet create or solve problems, whether the Internet brings people together or isolates them, and whether news and information obtained through the Internet is reliable. A series of questions sought respondents' experiences using the Internet to obtain the latest financial and sports news, product information, travel information, and entertainment information, to purchase products or travel tickets, to make hotel reservations, and to watch shows, play games, and visit adult entertainment sites. Respondents were asked about their knowledge of and experiences with the websites and online services of ESPN, Barnes and Noble, E-bay, Merrill Lynch, Amazon.com, E-trade, CBS.Marketwatch.com, AOL.com, Sportsline, Yahoo, CNN-F-N, and C-NET. Those queried were asked a series of questions about stock market investments and the Internet, including whether they had bought or traded stocks through the Internet, the speed of those transactions, and how frequently they checked their investments through online services. A series of questions addressed the use of electronic mail (e-mail), including frequency of use, whether email makes keeping in touch with others easier, whether the respondent had communicated through this media with someone they had never met in person and, for those not currently using the service, whether they felt left out. Further questions focused on respondents' computer skills, including the age at which the respondent first encountered computers and the Internet, their comfort level with this technology, and whether the lack or presence of computer skills had ever aided them in, or prevented them from, obtaining a job. Additional topics covered the importance of the Internet to school-age children, whether the Internet plays a major role in their daily activities, the presence of advertising on websites, and concern over the theft of personal information, child access to inappropriate information on the Internet, and the Y2K bug. The results of this survey were announced on the CBS website CBS.Marketwatch.com. Background information on respondents includes age, race, sex, education, religion, marital status, employment status, Hispanic origin, political party, political orientation, voter registration and participation history, age of children in household, family income, Internet and computer access, and measures taken to prevent child access to inappropriate Internet sites.
Attitudes of parents towards safer internet use for children. Topics: number of children in household between the age of 6 and 17; sex of child whose birthday is closest to date of interview; age of the child; frequency of personal internet use; internet use of the child: from personal computer at home, from family’s computer at home, at school, in internet café, at friends’ homes, in public places, somewhere else; frequency of the following measures with regard to child’s internet use at home: stay nearby, sit with the child, ask child about online activities, check computer later, check child’s messages, check whether child has a profile on a social network; restrictions regarding the child’s internet use; allowed activities: spend a lot of time online, talk to people unknown in real life, use email and instant messaging tools, use chat rooms, create profile in online community, access certain websites, download content, buy online, give out personal information; child’s use of mobile phone with internet access; concern about the child’s internet use via mobile phone with regard to the following activities: give out personal information online, see sexually or violently explicit images on the internet, be bullied by other children online, see sexually or violently explicit images via mobile phone, be bullied by other children via mobile phone, get information about self-harm, become isolated if spending too much time online, be victim of online grooming; use of filtering or monitoring software at computer at home; reasons for not using filtering or monitoring software; child ever been in need of help concerning unclear situation on the internet; kind of situation; most effective measures with regard to safer and more effective internet use for the child; most important sources of information on safety tools and safe internet usage; first point to turn to in case of encountering illegal content. Demography: sex; age; age at end of education; occupation; professional position; type of community. Additionally coded was: respondent ID; interviewer ID; language of the interview; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; region; weighting factor. Internetnutzung durch Kinder. Sicherheitsmaßnahmen der Eltern. Themen: Anzahl der Kinder zwischen 6-17 Jahren im Haushalt; Auswahl des Kindes, über das die Eltern berichten durch die Geburtstagsmethode; Geschlecht; Alter des Kindes; Häufigkeit der Internetnutzung; Nutzung des Internets außerhalb der Wohnung; Orte des Internetzugangs des Kindes; Kontrollmaßnahme bei der Internetnutzung durch das Kind (Skala); Beschränkungen der Internetnutzung für das Kind; weitere Einschränkungen der Internetnutzung: viel Zeit online verbringen, Unterhaltungen mit Unbekannten (Chatten), Nutzung von Kontaktmedien (instant messaging), Nutzung von Chaträumen, Erstellen eines Online-Profils, Besuch bestimmter Web-Seiten, Download von Musik und Filmen, Onlineshopping, Herausgabe persönlicher Daten; Handy-Besitz des Kindes; Besorgnis über die Internetnutzung bzw. die Handy-Nutzung durch das Kind (Skala); installierte Filter- oder Kontrollsoftware; Gründe für eine Entscheidung gegen Kontrollsoftware; Hilfesuchen seitens des Kindes bei der Internetnutzung; Art der Hilfeleistung: bei technischen Problemen, bei Online-Belästigung, bei der Informationssuche, bei Online-Schikane, bei Online-Kontaktaufnahme durch Fremde, bei dem Fund von sexuellen oder gewalttätigen Bildern; Maßnahmen, die zu einer erhöhten Sicherheit des Internets für Kinder führen würden: Aufklärung in Schulen, Information der Eltern, Kurse für Eltern, bessere Kontrollsoftware, strengere Regulierungen bei Providern von Internetseiten, Kampagnen zur Aufklärung über Onlinerisiken, Kontaktstellen zur sicheren Internetnutzung; Informationsquelle über Sicherheitstools; Kontaktstelle bei einem Fund illegaler Inhalte: Polizei, Hotlines, gemeinnützige Organisationen. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Urbanisierungsgrad. Zusätzlich verkodet wurde: Befragten-ID; Interviewer-ID; Interviewsprache; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); Interviewmodus (Mobiltelefon oder Festnetz); Region; Gewichtungsfaktor.
Internetnutzung durch Kinder. Sicherheitsmaßnahmen der Eltern. Themen: Anzahl der Kinder zwischen 6-17 Jahren im Haushalt; Auswahl des Kindes, über das die Eltern berichten durch die Geburtstagsmethode; Geschlecht; Alter des Kindes; Häufigkeit der Internetnutzung; Nutzung des Internets außerhalb der Wohnung; Orte des Internetzugangs des Kindes; Kontrollmaßnahme bei der Internetnutzung durch das Kind (Skala); Beschränkungen der Internetnutzung für das Kind; weitere Einschränkungen der Internetnutzung: viel Zeit online verbringen, Unterhaltungen mit Unbekannten (Chatten), Nutzung von Kontaktmedien (instant messaging), Nutzung von Chaträumen, Erstellen eines Online-Profils, Besuch bestimmter Web-Seiten, Download von Musik und Filmen, Onlineshopping, Herausgabe persönlicher Daten; Handy-Besitz des Kindes; Besorgnis über die Internetnutzung bzw. die Handy-Nutzung durch das Kind (Skala); installierte Filter- oder Kontrollsoftware; Gründe für eine Entscheidung gegen Kontrollsoftware; Hilfesuchen seitens des Kindes bei der Internetnutzung; Art der Hilfeleistung: bei technischen Problemen, bei Online-Belästigung, bei der Informationssuche, bei Online-Schikane, bei Online-Kontaktaufnahme durch Fremde, bei dem Fund von sexuellen oder gewalttätigen Bildern; Maßnahmen, die zu einer erhöhten Sicherheit des Internets für Kinder führen würden: Aufklärung in Schulen, Information der Eltern, Kurse für Eltern, bessere Kontrollsoftware, strengere Regulierungen bei Providern von Internetseiten, Kampagnen zur Aufklärung über Onlinerisiken, Kontaktstellen zur sicheren Internetnutzung; Informationsquelle über Sicherheitstools; Kontaktstelle bei einem Fund illegaler Inhalte: Polizei, Hotlines, gemeinnützige Organisationen. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Urbanisierungsgrad. Zusätzlich verkodet wurde: Befragten-ID; Interviewer-ID; Interviewsprache; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); Interviewmodus (Mobiltelefon oder Festnetz); Region; Gewichtungsfaktor. Attitudes of parents towards safer internet use for children. Topics: number of children in household between the age of 6 and 17; sex of child whose birthday is closest to date of interview; age of the child; frequency of personal internet use; internet use of the child: from personal computer at home, from family’s computer at home, at school, in internet café, at friends’ homes, in public places, somewhere else; frequency of the following measures with regard to child’s internet use at home: stay nearby, sit with the child, ask child about online activities, check computer later, check child’s messages, check whether child has a profile on a social network; restrictions regarding the child’s internet use; allowed activities: spend a lot of time online, talk to people unknown in real life, use email and instant messaging tools, use chat rooms, create profile in online community, access certain websites, download content, buy online, give out personal information; child’s use of mobile phone with internet access; concern about the child’s internet use via mobile phone with regard to the following activities: give out personal information online, see sexually or violently explicit images on the internet, be bullied by other children online, see sexually or violently explicit images via mobile phone, be bullied by other children via mobile phone, get information about self-harm, become isolated if spending too much time online, be victim of online grooming; use of filtering or monitoring software at computer at home; reasons for not using filtering or monitoring software; child ever been in need of help concerning unclear situation on the internet; kind of situation; most effective measures with regard to safer and more effective internet use for the child; most important sources of information on safety tools and safe internet usage; first point to turn to in case of encountering illegal content. Demography: sex; age; age at end of education; occupation; professional position; type of community. Additionally coded was: respondent ID; interviewer ID; language of the interview; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; region; weighting factor.
https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms
Attitudes towards the EU. Protection of online personal data.
Topics: 1. Attitudes towards the EU: life satisfaction; frequency of discussions about political matters on national, European, and local level; assessment of the current situation of the national economy; expected development of the national economy in the next twelve months; most important problems in the own country, personally, and in the EU; general direction things are going in the own country and in the EU; trust in selected institutions: national government, national parliament, European Union; EU image; attitude towards the following issues: European economic and monetary union with one currency, common European defence and security policy, free trade and investment agreement between the EU and the USA, common European migration policy, common European energy policy; optimism about the future of the EU.
Demography: nationality; left-right self-placement; marital status; family situation; age at end of education; sex; age; occupation; professional position; type of community; household composition and household size; possession of durable goods (entertainment electronics,...
These data encompass inspection data collected by Public Health Inspectors in the City of Ottawa. Bilingual text for all public health inspection data is available at: https://www.ottawapublichealth.ca/en/resources/lookuptable.csv For more information about Ottawa Public Health inspections, visit our Public Health Inspections page: https://www.ottawapublichealth.ca/en/public-health-services/public-health-inspections.aspx Current inspection results for specific facilities may be requested by calling 613-580-6744 or emailing healthsante@ottawa.ca.Accuracy: This dataset is currently in beta; the structure and content may change without notice. While every effort has been made to ensure the accuracy and veracity of the information on this website, the City of Ottawa is not responsible in any way for damages arising out of the use of this website. And, although the City of Ottawa relies on reputable sources and believes the information posted on the website by the City is correct, and attempts to keep the information current, the City of Ottawa does not warrant the accuracy or completeness of the information.Update Frequency: DailyContact: Jeffery Satchwill
https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal
Survey on Equipment and Use of Information and Communication Technologies in Households: Use of the Public Administrations or Public Services websites, for personal reasons, in the last 12 months by socio-economic characteristics and problems registered. National.
This statistic displays the concerns over personal data protection by websites in the European Union (EU) as of 2019. During the survey period, it was founds that 68 percent of respondents agreed with the statement that personal information was not kept secure by websites.