Washington, DC — In the latest release from Ipsos on behalf of Mozilla, Americans reveal they’re most worried about people’s inability to tell the difference between fake news and real news stories (83%), closely followed by concern over privacy policies that favor companies instead of individual users (78%). Alternatively, Germans are far more concerned with privacy policies that favor companies instead of individual users (79%), followed by people’s inability to tell the difference between fake news and real news stories (73%) and the most popular online services being owned by a small number of companies (72%). Unsurprisingly, only a quarter of Americans (26%) and Germans (25%) believe the accuracy of online content has gotten better. However, Americans and Germans are optimistic about speed of connectivity, with 52% of Americans and 50% of Germans believing it has gotten better in the last 12 months. Four in ten Americans believe the internet as it currently exists works well, but could be improved (41%), and another three in ten say the internet as it currently exists is at risk and steps should be taken to make it more open and healthy (31%). Germans report similar beliefs, with 44% believing the internet as it currently exists works well, but could be improved and 28% saying it’s currently at risk and steps should be taken to make it healthier. To improve internet health, 37% of Americans say they have taken steps to protect their digital privacy and 35% say they’ve checked the sources of articles before sharing them. Germans were less active than Americans in protecting their digital privacy (33%) and checking the sources of articles before they share them (23%).
About the Study
These are findings from multiple Ipsos polls conducted on behalf of Mozilla. For the US survey, a sample of roughly 1,007 adults age 18+ from the continental U.S., Alaska and Hawaii was interviewed online in English May 25-26, 2017. For the Germany survey, a sample of roughly 1,093 adults age 16-70 in Germany was interviewed May 26-31, 2017.
The sample for this study was randomly drawn from Ipsos’s online panel (see link below for more info on “Access Panels and Recruitment”), partner online panel sources, and “river” sampling (see link below for more info on the Ipsos “Ampario Overview” sample method) and does not rely on a population frame in the traditional sense. Ipsos uses fixed sample targets, unique to each study, in drawing sample. After a sample has been obtained from the Ipsos panel, Ipsos calibrates respondent characteristics to be representative of the U.S. Population using standard procedures such as raking-ratio adjustments. The source of these population targets is U.S. Census 2016 American Community Survey data. The sample drawn for this study reflects fixed sample targets on demographics. Post-hoc weights were made to the population characteristics on gender, age, race/ethnicity, region, and education.
Statistical margins of error are not applicable to online polls. All sample surveys and polls may be subject to other sources of error, including, but not limited to coverage error and measurement error. Where figures do not sum to 100, this is due to the effects of rounding. The precision of Ipsos online polls is measured using a credibility interval. In this case, the US poll has a credibility interval of plus or minus 3.5 percentage points for all respondents. Ipsos calculates a design effect (DEFF) for each study based on the variation of the weights, following the formula of Kish (1965). This study had a credibility interval adjusted for design effect of the following (n=1,007, DEFF=1.5, adjusted Confidence Interval=5). The German poll has a credibility interval of plus or minus 3.4 percentage points for all respondents. Ipsos calculates a design effect (DEFF) for each study based on the variation of the weights, following the formula of Kish (1965). This study had a credibility interval adjusted for design effect of the following (n=1,093, DEFF=1.5, adjusted Confidence Interval=4.9).
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