Fake news and the spread of misinformation - Journalist's Resource Journalist's Resource. It’s too soon to say whether Google’s and Facebook’s attempts to clamp down on fake news will have a significant impact. But fabricated stories posing as serious journalism are not likely to go away as they have become a means for some writers to make money and potentially influence public opinion. Even as Americans recognize that fake news causes confusion about current issues and events, they continue to circulate it.
A December 2016 survey by the Pew Research Center suggests that 23 percent of U.S. adults have shared fake news, knowingly or unknowingly, with friends and others. “Fake news” is a term that can mean different things, depending on the context. News satire is often called fake news as are parodies such as the “Saturday Night Live” mock newscast Weekend Update. While much has been written about fake news, scholars have published a limited amount of peer-reviewed research on the topic. “Social Media and Fake News in the 2016 Election”Allcott, Hunt; Gentzkow, Matthew. Challenge.
Research and reports | UNICEF. Real Time Search - Social Mention. Data Dumps | Freebase API (Deprecated) | Google Developers. Data Dumps are a downloadable version of the data in Freebase. They constitute a snapshot of the data stored in Freebase and the Schema that structures it, and are provided under the same CC-BY license. The Freebase/Wikidata mappings are provided under the CC0 license. Freebase Triples The RDF data is serialized using the N-Triples format, encoded as UTF-8 text and compressed with Gzip. < "2001-02"^^< . < . < . <subject><predicate><object> . Note: In Freebase, objects have MIDs that look like /m/012rkqx. The subject is the ID of a Freebase object. Citing.
Data and Insights on Minority Populations. By Susannah Fox Our sample sizes for health surveys have been too small to do in-depth analysis on race/ethnicity and economic status. One challenge is that a significant portion of the respondent pool refuses to answer the household income question (the refusal rate can be as high as 20%). So we use education levels as a proxy. But the Pew Internet Project and other groups do have resources to share regarding minority populations, however you want to define them. Browse through all of the Project’s reports and presentations to see if we mention your particular research interest (older Americans, those with low access to technology, those living with disability, rural residents…) Take a look at the chart on p. 4 in "Online Health Search 2006" (our most recent general-population report on health).
Download the raw data sets for the August 2006 survey and dig into the variables yourself (caution: you’ll need SPSS). (Join the conversation about these issues on e-patients.net.) Open data. Python. +150 herramientas WEB para docentes. ODWRÓCONA LEKCJA. Collaboration, meeting, and teaching platform. Socrative. Scholarly networking and promotion tools. Wiggio.com - Makes it easy to work in groups.
Presentation tools and collaborative platforms. Data sources. Links to Part 1, Part 2, Part 3 At The Data Incubator, we run a free six week data science fellowship to help our Fellows land industry jobs. Our hiring partners love considering Fellows who don’t mind getting their hands dirty with data. That’s why our Fellows work on cool capstone projects that showcase those skills. One of the biggest obstacles to successful projects has been getting access to interesting data. Here are some more cool public data sources you can use for your next project: Continue reading.
Free topic interesting. Persons. Machine Learning. News and WEB data gathering. News biases. Big Data. Data Visualization. Python resources. Networks data. Videos. VK data gathering. What is NVivo? | QSR International. You might be working with qualitative data to evaluate social policy, review patient feedback, research youth culture, or undertake postgraduate research. The challenge with this sort of research is that once you’ve collected your information, what do you do with it? How do you quickly find the valuable answers that respondents are giving you from the collection of data you have across numerous sources? That’s where NVivo comes in. NVivo is software that supports qualitative and mixed methods research. When working with qualitative data, if you don’t use NVivo, your work will be more time consuming, challenging to manage, and hard to navigate. NVivo gives you a place to organize and manage your material so that you can start to find insights in your data.
By using NVivo to support your research project you can: Work more efficiently Save time Quickly organize, store and retrieve data Uncover connections in ways that aren’t possible manually Rigorously back-up findings with evidence.