Insights on Canadian Society
Shifting perceptions of misinformation in Canada: Trends in exposure, detection and trust
Text begins
Overview of the study
This study uses data from the Canadian Social Survey to explore trends in exposure to and detection of online misinformation, and how this impacts trust. It examines the sources and platforms Canadians use to access news and information, how frequently they report encountering misinformation, and whether they perceive it to be increasingly difficult to distinguish between true and false information. In addition, the paper analyzes how experiences with misinformation relate to confidence in the media and levels of interpersonal trust.
- In 2025, four in five Canadians (80%) saw news or information on the Internet that they suspected to be misleading, false or inaccurate at least monthly.
- Canadians typically obtain news or information from news organizations (66%), close contacts (62%), social media platforms (54%) and television programming (52%).
- For young Canadians aged 15 to 34 years old, social media was the most prevalent source of news or information, at 78%.
- In 2025, nearly half of Canadians (47%) reported that they were finding it harder to distinguish between true and false news or information compared with three years prior.
- More than three in five Canadians (61%) reported being “very” or “extremely” concerned about online misinformation in 2025.
- Those with a great deal of confidence in the Canadian media were less likely to report finding it harder to distinguish between true and false information, compared with those with lower levels of confidence in the Canadian media.
Introduction
Misinformation—defined as news or information that is verifiably false or inaccurate—has the potential to shape opinions and distort public discourse, making it an ongoing challenge in today’s digital environment. With the proliferation of online content, Canadians are increasingly exposed to information that may not always be
This evolving landscape underscores the growing importance of understanding how misinformation circulates, how frequently Canadians encounter it, and whether they are finding it more challenging to distinguish between true and false information. Concurrently, there is increasing interest in whether misleading content may erode public trust or confidence in the Canadian media or information sources.
A recent Statistics Canada study highlighted the widespread concern about misinformation and showed that nearly 6 in 10 Canadians reported being “very” or “extremely” worried about its presence online in
Using 2025 data from the CSS and 2023 data from the Survey Series on People and their Communities (SSPC), this study first examines the sources and platforms through which Canadians access news and information, how often they report encountering misleading information, and whether they find it increasingly difficult to distinguish between true and false information. Second, the paper explores the relationship between misinformation, confidence in the media and trust in others—examining how challenges related to distinguishing between true and false online information may be associated with lower levels of social trust and confidence in the media.
Canadians most often get their news or information from news organizations
Canadians’ preferences for sources of news or information are an important component of Canada’s information ecosystem and can affect how exposed Canadians are to misinformation.
In 2025, data from the CSS showed that Canadians most typically obtained news or information from news

Data table for Chart 1
| Sources and platforms for news or information | Proportion | 95% confidence interval | |
|---|---|---|---|
| Lower | Upper | ||
| percent | |||
|
Notes: Data come from two survey questions: MIS1_Q06 and MIS1_Q07. The following categories were excluded from this chart because of their conceptual similarity to more commonly selected responses: social media users; news website, app or other platform; and conversations with close contacts. Error bars represent 95% confidence intervals. Source: Statistics Canada, Canadian Social Survey - Quality of Life, Climate Change and Trust, 2025. |
|||
| News organizations | 65.7 | 64.4 | 66.9 |
| Close contacts | 61.6 | 60.4 | 62.8 |
| Social media platforms | 54.3 | 53.1 | 55.4 |
| Television programming | 51.6 | 50.3 | 52.8 |
| Radio | 37.6 | 36.4 | 38.9 |
| Video and audio streaming | 34.1 | 32.9 | 35.3 |
| Government communications | 33.8 | 32.6 | 35.0 |
| Scientific experts or peer-reviewed journals | 26.7 | 25.5 | 27.8 |
| Online forums and discussion groups | 23.9 | 22.7 | 25.0 |
| Print media | 21.2 | 20.3 | 22.2 |
| Other websites | 10.8 | 10.0 | 11.6 |
| No sources | 3.4 | 3.0 | 3.9 |
| Other sources | 0.9 | 0.6 | 1.1 |
| Other platforms | 0.5 | 0.2 | 0.7 |
Canadians’ typical sources of news or information differ across age groups
While news organizations were an important source across all age groups, the prevalence of this source of information increased with age. Canadians aged 15 to 24 were the least likely to rely on news organizations (49%), compared with over three in four Canadians aged 75 and over (78%). A similar trend was observed for those using television programming as an information source. About 3 in 10 Canadians aged 25 to 34 (29%) used this source, compared with 84% of those aged 75 and over (Chart 2).
For Canadians aged 15 to 34 years old, social media was the most prevalent source of information, at 78%. However, the proportion of Canadians using social media as a source decreased with age, down to 19% among those aged 75 and over. These findings are supported by results from the Survey of Online Harms in
Similarly, the proportion of Canadians reporting close contacts as an information source decreased with age. Over three-quarters of Canadians aged 15 to 24 used this source (76%), compared with about half of those aged 75 and over (51%).

Data table for Chart 2
| Sources and platforms for news of information | Age group | ||||||
|---|---|---|---|---|---|---|---|
| 15 to 24 years |
25 to 34 years |
35 to 44 years |
45 to 54 years |
55 to 64 years |
65 to 74 years |
75 years and over |
|
| percent | |||||||
| Source: Statistics Canada, Canadian Social Survey - Quality of Life, Climate Change and Trust, 2025. | |||||||
| News organizations | 49.4 | 57.4 | 63.3 | 69.9 | 71.9 | 77.6 | 78.4 |
| Close contacts | 75.8 | 68.0 | 65.1 | 56.0 | 54.9 | 53.3 | 51.3 |
| Social media platforms | 78.8 | 77.8 | 64.2 | 51.8 | 37.1 | 30.0 | 18.9 |
| Television programming | 33.1 | 28.9 | 39.2 | 55.7 | 64.8 | 76.3 | 83.6 |
| Video and audio streaming | 55.1 | 49.8 | 34.4 | 29.3 | 24.7 | 20.1 | 13.1 |
Men and women have different preferences for news or information sources
Beyond age, some smaller differences were also found in the most reported information sources of men and women. Women (65%) were more likely than men (58%) to get information from close contacts (Table 1).
Meanwhile, men (38%) were more likely than women (31%) to use video and audio streaming platforms to obtain information. Previous research by Statistics Canada also found that men (73%) were slightly more likely than women (70%) to watch user-generated videos online in
| Socioeconomic and geographic characteristics | News organizations | Close contacts | Social media platforms | Television programming | Video and audio streaming | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Proportion | 95% confidence interval | Proportion | 95% confidence interval | Proportion | 95% confidence interval | Proportion | 95% confidence interval | Proportion | 95% confidence interval | ||||||
| Lower | Upper | Lower | Upper | Lower | Upper | Lower | Upper | Lower | Upper | ||||||
| percent | |||||||||||||||
|
|||||||||||||||
| All Canadians aged 15 and over | 65.7 | 64.4 | 66.9 | 61.6 | 60.4 | 62.8 | 54.3 | 53.1 | 55.4 | 51.6 | 50.3 | 52.8 | 34.1 | 32.9 | 35.3 |
| Age group | |||||||||||||||
| 15 to 24 years | 49.4 | 45.3 | 53.5 | 75.8 | 72.2 | 79.4 | 78.8 | 75.3 | 82.3 | 33.1 | 29.0 | 37.1 | 55.1 | 50.9 | 59.3 |
| 25 to 34 years | 57.4 | 53.7 | 61.2 | 68.0 | 64.5 | 71.4 | 77.8 | 74.7 | 80.9 | 28.9 | 25.2 | 32.7 | 49.8 | 46.1 | 53.4 |
| 35 to 44 years | 63.3 | 60.3 | 66.2 | 65.1 | 62.1 | 68.2 | 64.2 | 61.1 | 67.2 | 39.2 | 36.0 | 42.4 | 34.4 | 31.6 | 37.2 |
| 45 to 54 years | 69.9 | 66.9 | 72.9 | 56.0 | 52.9 | 59.1 | 51.8 | 48.8 | 54.9 | 55.7 | 52.6 | 58.8 | 29.3 | 26.4 | 32.1 |
| 55 to 64 years | 71.9 | 69.3 | 74.5 | 54.9 | 52.0 | 57.8 | 37.1 | 34.3 | 39.8 | 64.8 | 62.1 | 67.5 | 24.7 | 22.1 | 27.2 |
| 65 to 74 years | 77.6 | 75.3 | 79.8 | 53.3 | 50.6 | 56.0 | 30.0 | 27.6 | 32.4 | 76.3 | 74.1 | 78.5 | 20.1 | 17.9 | 22.2 |
| 75 years and over | 78.4 | 75.6 | 81.1 | 51.3 | 48.0 | 54.6 | 18.9 | 16.4 | 21.5 | 83.6 | 81.1 | 86.1 | 13.1 | 11.0 | 15.1 |
| Gender Table 1 Note 1 | |||||||||||||||
| Men | 67.3 | 65.4 | 69.1 | 58.4 | 56.7 | 60.2 | 53.0 | 51.2 | 54.7 | 50.5 | 48.7 | 52.2 | 37.6 | 35.9 | 39.3 |
| Women | 64.1 | 62.4 | 65.7 | 64.7 | 63.1 | 66.3 | 55.5 | 53.9 | 57.1 | 52.7 | 50.9 | 54.4 | 30.6 | 28.9 | 32.3 |
| Highest certificate, diploma or degree completed | |||||||||||||||
| Less than high school diploma or its equivalent | 53.4 | 49.4 | 57.4 | 64.0 | 60.1 | 67.9 | 53.0 | 49.2 | 56.9 | 54.8 | 50.8 | 58.9 | 31.9 | 28.1 | 35.7 |
| High school diploma or high school equivalency certificate | 62.0 | 59.2 | 64.8 | 59.0 | 56.3 | 61.8 | 53.0 | 50.2 | 55.8 | 54.0 | 51.1 | 56.8 | 33.7 | 31.0 | 36.5 |
| Trades certificate or diploma | 61.9 | 58.0 | 65.8 | 55.9 | 52.1 | 59.8 | 50.6 | 46.7 | 54.4 | 55.4 | 51.0 | 59.7 | 27.6 | 24.1 | 31.1 |
| College, CEGEP or other non-university certificate or diploma (other than trades certificates or diplomas) | 66.5 | 63.8 | 69.2 | 61.6 | 58.8 | 64.3 | 52.8 | 50.1 | 55.6 | 56.7 | 53.8 | 59.5 | 30.8 | 28.2 | 33.5 |
| University certificate or diploma below the bachelor's level | 66.6 | 60.9 | 72.4 | 57.5 | 52.2 | 62.8 | 55.3 | 49.7 | 60.9 | 50.1 | 44.4 | 55.9 | 31.4 | 26.2 | 36.6 |
| Bachelor's degree (e.g., B.A., B.A. (Hons), B.Sc., B.Ed., LL.B.) | 72.9 | 70.4 | 75.4 | 67.1 | 64.6 | 69.6 | 59.3 | 56.7 | 62.0 | 45.5 | 42.8 | 48.3 | 40.4 | 37.7 | 43.2 |
| University certificate, diploma or degree above the bachelor's level | 78.3 | 75.4 | 81.2 | 61.2 | 57.8 | 64.6 | 54.9 | 51.5 | 58.2 | 42.5 | 39.2 | 45.7 | 37.9 | 34.4 | 41.4 |
| Racialized groups Table 1 Note 2 | |||||||||||||||
| Racialized | 60.2 | 57.6 | 62.8 | 63.2 | 60.6 | 65.8 | 70.3 | 68.0 | 72.7 | 45.3 | 42.7 | 47.9 | 47.5 | 44.8 | 50.2 |
| Non-racialized, non-Indigenous | 68.2 | 66.7 | 69.6 | 61.0 | 59.6 | 62.4 | 47.2 | 45.8 | 48.6 | 54.3 | 52.8 | 55.8 | 28.1 | 26.8 | 29.4 |
| Province | |||||||||||||||
| Newfoundland and Labrador | 72.1 | 67.0 | 77.2 | 59.4 | 54.3 | 64.5 | 54.0 | 48.5 | 59.5 | 58.8 | 53.8 | 63.9 | 27.2 | 22.7 | 31.8 |
| Prince Edward Island | 72.1 | 66.2 | 78.0 | 64.2 | 58.6 | 69.9 | 53.5 | 47.6 | 59.4 | 47.7 | 42.1 | 53.3 | 31.3 | 25.9 | 36.8 |
| Nova Scotia | 72.4 | 67.7 | 77.1 | 62.4 | 57.6 | 67.3 | 54.2 | 49.4 | 58.9 | 46.6 | 42.2 | 51.1 | 32.2 | 27.4 | 37.0 |
| New Brunswick | 61.7 | 56.9 | 66.5 | 59.7 | 54.5 | 64.9 | 52.9 | 48.5 | 57.3 | 56.1 | 51.1 | 61.0 | 24.5 | 20.0 | 29.0 |
| Quebec | 59.4 | 56.7 | 62.1 | 61.4 | 58.9 | 63.9 | 49.8 | 47.3 | 52.3 | 61.0 | 58.4 | 63.5 | 27.3 | 24.7 | 29.8 |
| Ontario | 66.8 | 64.7 | 68.9 | 60.9 | 58.8 | 63.0 | 55.5 | 53.6 | 57.5 | 49.6 | 47.5 | 51.8 | 36.0 | 33.9 | 38.1 |
| Manitoba | 64.1 | 59.1 | 69.0 | 65.0 | 60.6 | 69.5 | 61.4 | 56.9 | 65.9 | 50.4 | 45.6 | 55.3 | 39.1 | 34.1 | 44.0 |
| Saskatchewan | 63.8 | 59.0 | 68.6 | 65.4 | 60.7 | 70.0 | 54.6 | 49.8 | 59.3 | 46.3 | 40.9 | 51.7 | 37.5 | 32.3 | 42.7 |
| Alberta | 67.2 | 63.5 | 70.9 | 62.6 | 58.6 | 66.5 | 54.8 | 51.1 | 58.6 | 45.2 | 41.5 | 48.9 | 37.0 | 33.2 | 40.8 |
| British Columbia | 70.0 | 67.0 | 73.1 | 61.7 | 58.7 | 64.7 | 55.7 | 52.9 | 58.4 | 48.6 | 45.5 | 51.6 | 37.5 | 34.4 | 40.7 |
| Rural or urban status Table 1 Note 3 | |||||||||||||||
| Rural | 63.5 | 60.0 | 66.9 | 59.4 | 55.9 | 62.8 | 43.7 | 40.3 | 47.2 | 55.9 | 52.5 | 59.4 | 22.3 | 19.3 | 25.3 |
| Urban | 66.0 | 64.7 | 67.3 | 61.9 | 60.6 | 63.2 | 55.7 | 54.5 | 57.0 | 51.0 | 49.6 | 52.3 | 35.7 | 34.4 | 37.1 |
Social media platforms are the top news or information source for racialized Canadians
Racialized Canadians were more likely to obtain information from social media platforms (70%) and close contacts (63%) relative to other platforms or sources
Finally, a few differences were also observed between groups based on educational attainment. The prevalence of news organizations as an information source was greatest among those with a university certificate, diploma or degree above the bachelor’s level (78%) and lowest among those with less than a high school diploma or its equivalent (53%).
Most Canadians see suspected misinformation at least monthly
In 2025, four in five Canadians (80%) saw news or information on the Internet that they suspected to be misleading, false or inaccurate on a regular basis—at least monthly. Across nearly all age groups (15 to 74 years), the percentage of Canadians who saw misinformation at least monthly was almost identical—at just over 80% (Table 2). Only adults aged 75 and over were different, with fewer of these Canadians reporting that they regularly saw misinformation on the Internet
Across other socioeconomic and geographic characteristics, there were also few differences in the percentage of Canadians who saw misinformation on a regular basis. Only a few groups reported notably lower exposure to misinformation on a regular basis than the overall population: racialized Canadians (75%) and those with less than a high school education (75%). However, the self-reported wording of the question does not distinguish between whether the respondent was less exposed to misinformation (because they visit reputable sites, for example), or whether they were simply less aware that they were seeing misinformation.
| Socioeconomic and geographic characteristics | Proportion | 95% confidence interval | Predicted probability | |
|---|---|---|---|---|
| Lower | Upper | |||
| percent | ||||
|
||||
| Canadians aged 15 and over | 80.0 | 78.9 | 81.0 | ... not applicable |
| Age group | ||||
| 15 to 24 years (ref.) | 83.5 | 80.5 | 86.6 | 84.0 |
| 25 to 34 years | 83.5 | 80.6 | 86.3 | 83.9 |
| 35 to 44 years | 81.2 | 78.6 | 83.7 | 81.9 Table 2 Note * |
| 45 to 54 years | 80.9 | 78.4 | 83.4 | 81.8 Table 2 Note * |
| 55 to 64 years | 81.6 | 79.3 | 83.8 | 82.3 Table 2 Note * |
| 65 to 74 years | 80.1 | 78.0 | 82.2 | 81.1 Table 2 Note * |
| 75 years and over | 61.6 | 58.2 | 64.9 | 63.1 Table 2 Note * |
| Gender Table 2 Note 1 | ||||
| Men (ref.) | 82.6 | 81.1 | 84.1 | 82.2 |
| Women | 77.4 | 75.9 | 78.9 | 77.4 |
| Highest certificate, diploma or degree completed | ||||
| Less than high school diploma or its equivalent (ref.) | 74.5 | 70.9 | 78.0 | 72.8 |
| High school diploma or high school equivalency certificate | 78.2 | 76.0 | 80.5 | 76.9 |
| Trades certificate or diploma | 83.8 | 80.9 | 86.7 | 82.6 Table 2 Note * |
| College, CEGEP or other non-university certificate or diploma (other than trades certificates or diplomas) | 82.3 | 80.1 | 84.6 | 81.5 Table 2 Note * |
| University certificate or diploma below the bachelor's level | 81.3 | 77.1 | 85.6 | 79.9 Table 2 Note * |
| Bachelor's degree (e.g., B.A., B.A. (Hons), B.Sc., B.Ed., LL.B.) | 80.9 | 78.7 | 83.0 | 80.3 Table 2 Note * |
| University certificate, diploma or degree above the bachelor's level | 82.5 | 79.8 | 85.2 | 82.1 Table 2 Note * |
| Racialized groups Table 2 Note 2 | ||||
| Racialized (ref.) | 74.5 | 72.1 | 76.9 | 73.7 |
| Non racialized, non-Indigenous | 82.5 | 81.5 | 83.6 | 81.4 Table 2 Note * |
| Province | ||||
| Newfoundland and Labrador (ref.) | 79.2 | 74.9 | 83.5 | 78.6 |
| Prince Edward Island | 82.1 | 77.9 | 86.4 | 80.9 |
| Nova Scotia | 81.0 | 76.7 | 85.3 | 80.7 |
| New Brunswick | 78.6 | 74.1 | 83.0 | 77.8 |
| Quebec | 75.0 | 72.6 | 77.5 | 74.8 |
| Ontario | 80.8 | 79.0 | 82.6 | 80.6 Table 2 Note * |
| Manitoba | 77.8 | 73.3 | 82.3 | 77.4 |
| Saskatchewan | 81.7 | 77.7 | 85.7 | 81.0 |
| Alberta | 82.0 | 78.6 | 85.3 | 81.7 Table 2 Note * |
| British Columbia | 84.0 | 81.6 | 86.4 | 83.8 Table 2 Note * |
| Rural or urban status Table 2 Note 3 | ||||
| Rural (ref.) | 82.5 | 79.9 | 85.1 | 81.9 |
| Urban | 79.6 | 78.5 | 80.8 | 79.3 |
Based on a regression model, Canadians with an education above the high school level and those who were non-racialized and non-Indigenous had a greater likelihood of seeing misinformation at least
Canadians are finding it more difficult to distinguish between true and false news and information in 2025
Frequently encountering misinformation is only part of the problem—many Canadians are also finding it increasingly difficult to tell what is real from what is fabricated. In 2025, data from the CSS showed that nearly half of Canadians (47%) reported that they were finding it harder to distinguish between true and false news or information compared with three years prior. Another 42% of Canadians reported that the challenge remained “about the same,” while 11% said they found it easier to tell the difference. For context, data from the SSPC found that in 2023, 44% of Canadians reported finding it more difficult to distinguish fact from falsehood. This finding could point to growing challenges in navigating an increasingly complex online environment. Notably, although sources of information and news vary across the lifespan, all age groups similarly claimed difficulty in distinguishing truth from falsehoods.
Women were slightly more likely than men to report increased difficulty distinguishing between true and false information over the past three years (49% of women versus 46% of men) (Table 3). A recent study about susceptibility to misinformation found that women were more likely to believe misinformation than men. However, women also had a more accurate sense of their own abilities to detect
Around two in five Canadians with less than a high school education (43%) found it difficult to differentiate between true and misleading content online, compared with more than half of Canadians with at least a bachelor’s degree (51%). This, along with the finding that those with higher levels of education are more likely to report seeing misinformation, suggests educated Canadians may be more likely to encounter complex information environments and be more attuned to the challenges of evaluating online
| Socioeconomic and geographic characteristics | Proportion | 95% confidence interval | Predicted probability | |
|---|---|---|---|---|
| Lower | Upper | |||
| percent | ||||
|
||||
| Canadians aged 15 and over | 47.1 | 45.8 | 48.4 | ... not applicable |
| Age group | ||||
| 15 to 24 years (ref.) | 42.5 | 38.4 | 46.7 | 43.6 |
| 25 to 34 years | 46.1 | 42.2 | 50.0 | 47.2 |
| 35 to 44 years | 47.3 | 44.2 | 50.4 | 48.5 |
| 45 to 54 years | 48.2 | 45.2 | 51.3 | 49.3 |
| 55 to 64 years | 49.0 | 46.2 | 51.8 | 50.3 |
| 65 to 74 years | 48.2 | 45.6 | 50.8 | 49.5 |
| 75 years and over | 49.1 | 45.7 | 52.6 | 50.5 |
| Gender Table 3 Note 1 | ||||
| Men (ref.) | 45.5 | 43.6 | 47.4 | 47.3 |
| Women | 48.6 | 46.9 | 50.4 | 50.5 Table 3 Note * |
| Highest certificate, diploma or degree completed | ||||
| Less than high school diploma or its equivalent (ref.) | 40.3 | 36.4 | 44.2 | 41.3 |
| High school diploma or high school equivalency certificate | 44.7 | 41.9 | 47.5 | 45.7 |
| Trades certificate or diploma | 48.8 | 44.9 | 52.7 | 49.0 Table 3 Note * |
| College, CEGEP or other non-university certificate or diploma (other than trades certificates or diplomas) | 48.3 | 45.5 | 51.1 | 49.3 Table 3 Note * |
| University certificate or diploma below the bachelor's level | 46.9 | 41.3 | 52.4 | 48.4 Table 3 Note * |
| Bachelor's degree (e.g., B.A., B.A. (Hons), B.Sc., B.Ed., LL.B.) | 51.9 | 49.2 | 54.7 | 53.4 Table 3 Note * |
| University certificate, diploma or degree above the bachelor's level | 50.0 | 46.6 | 53.4 | 51.5 Table 3 Note * |
| Racialized groups Table 3 Note 2 | ||||
| Racialized (ref.) | 40.0 | 37.3 | 42.7 | 41.1 |
| Non racialized, non-Indigenous | 50.0 | 48.6 | 51.5 | 50.9 Table 3 Note * |
| Province | ||||
| Newfoundland and Labrador (ref.) | 42.9 | 37.4 | 48.5 | 44.1 |
| Prince Edward Island | 48.3 | 41.9 | 54.6 | 50.2 |
| Nova Scotia | 49.5 | 44.1 | 54.9 | 51.4 |
| New Brunswick | 47.1 | 41.9 | 52.4 | 48.7 |
| Quebec | 48.7 | 46.0 | 51.5 | 50.7 Table 3 Note * |
| Ontario | 46.3 | 44.0 | 48.5 | 48.3 Table 3 Note * |
| Manitoba | 47.3 | 42.3 | 52.3 | 49.1 |
| Saskatchewan | 45.3 | 40.0 | 50.6 | 46.9 |
| Alberta | 45.5 | 41.8 | 49.2 | 47.3 |
| British Columbia | 48.1 | 44.7 | 51.5 | 50.1 Table 3 Note * |
| Rural or urban status Table 3 Note 3 | ||||
| Rural (ref.) | 49.7 | 46.3 | 53.1 | 50.5 |
| Urban | 46.7 | 45.3 | 48.1 | 48.7 |
Canadians’ levels of concern about misinformation show little change between 2023 and 2025
In 2023, SSPC data showed that 59% of Canadians reported being “very” or “extremely” concerned about misinformation. This proportion is similar to the proportion in the CSS data, which reached 61% in 2025.
In 2025, older Canadians, as well as people with higher levels of education, were more likely to report being very or extremely concerned about misinformation. For instance, less than half of Canadians aged 15 to 24 (48%) expressed that they were very or extremely concerned about misinformation, compared with over two-thirds of those aged 65 to 74 years (67%).
Concern about misinformation also varied by education level; 45% of those with less than a high school diploma reported being very or extremely concerned about misinformation, compared with more than one-third (69%) of Canadians with some university-level education and above.
These levels are broadly consistent with those observed in 2023 on the SSPC, suggesting that concern by age group and education level has remained relatively stable over time.
Those with higher levels of confidence in the media and social trust are more likely to have confidence in their ability to distinguish between true and false news and information
As Canadians navigate an increasingly complex information landscape, the ability to distinguish between true and false information is tied to broader issues of trust. Confidence in the media and trust in others can shape how people experience misinformation, making these relationships important to understanding its
In 2025, those with a great deal of confidence in the Canadian media were less likely to report finding it harder to distinguish between true and false information in general (44%), compared with those with lower levels of confidence in the Canadian media (49%) (Chart 3). Conversely, lower levels of confidence in the media appear linked to greater difficulty distinguishing true content from false content.

Data table for Chart 3
| Level of confidence | Harder to distinguish | ||
|---|---|---|---|
| Proportion | 95% confidence interval | ||
| Lower | Upper | ||
| percent | |||
| Source: Statistics Canada, Canadian Social Survey - Quality of Life, Climate Change and Trust, 2025. | |||
| High confidence in the media | 44.1 | 41.9 | 46.3 |
| Lower confidence in the media | 48.8 | 47.2 | 50.4 |
| Most people can be trusted | 44.7 | 42.9 | 46.5 |
| You cannot be too careful in dealing with people | 49.1 | 47.3 | 51.0 |
When asked generally about trust in others, people with lower levels of trust were more likely to feel it has become harder to distinguish between true and false information (49%), while those who believe that most people can be trusted were less likely to have difficulty distinguishing between these (45%). People who were more trusting may feel more confident in their ability to navigate and identify misinformation, while those who were distrustful appear to be more likely to struggle with separating accurate content from misleading content.
These findings suggest that challenges in identifying misinformation tend to appear alongside broader patterns of social distrust and lower confidence in the media, providing useful context for understanding who is more or less vulnerable to misleading information.
Conclusion
The findings from this study highlight how the Canadian information landscape continues to evolve in the context of misinformation. Drawing on data from the CSS and the SSPC, the analysis shows that exposure to misleading content is now a regular occurrence for many Canadians. Meanwhile, a growing share of the population is reporting difficulty distinguishing between accurate and false information, emphasizing the increasing levels of uncertainty in the digital environment.
This study also demonstrates that challenges in identifying misinformation intersect with broader attitudes towards institutions such as the Canadian media, as well as levels of trust in others.
Together, these findings reinforce the importance of understanding how misinformation affects Canadians.
Data sources, methods and definitions
Data sources
The data used in this article are from the 17th wave of the Canadian Social Survey (CSS), titled Quality of Life, Climate Change and Trust, which was collected in the spring of 2025. The CSS is a voluntary, cross-sectional, quarterly survey that collects information on well-being, health, time use, confidence in institutions and other social issues. The target population for the CSS is all non-institutionalized people aged 15 or over living off reserve in the 10 provinces of Canada. Exclusions represent less than 2% of the Canadian population aged 15 and over. The response rate for the 17th wave of the CSS is estimated at 40.3%, with a stratified sample of approximately 30,000 dwellings selected probabilistically. Population-level estimates in the time series were determined using survey and bootstrap weights to reflect the underlying population of Canada.
This article also made comparisons with data from the third wave of the Survey Series on People and their Communities (SSPC), titled Quality of Life, Sources of Information and Trust. The reference period for the SSPC was October 2023. The survey series target sample consisted of a total of 70,000 individuals, with a response rate of 27.2% for the third wave. Survey weighting procedures were undertaken, including non-response adjustment and calibration, to align the sample with the target population.
Definitions
In the SSPC, misinformation is defined as “news or information that is verifiably false or inaccurate. The sharer of misinformation may or may not be aware that it is misinformation. When they are aware, it is often referred to as disinformation.”
Limitations
This study examines changes over time in Canadians’ experiences with misinformation by drawing on two distinct data sources: the 2023 SSPC and the 2025 CSS. While this approach provides valuable insights into evolving attitudes and behaviours, it should be noted that the SSPC and CSS use distinct sampling frames and methodologies. Additionally, each survey had its own sample size, and this may affect the precision of estimates and the comparability of results. Therefore, direct comparisons across surveys should be interpreted with caution. While the data provide useful context for understanding trends, methodological differences mean results are not strictly comparable.
References
Bilodeau, Howard and Aisha Khalid. 2024. “The spread of misinformation: A multivariate analysis of the relationship between individual characteristics and fact-checking behaviours of Canadians.” Digital Insights. Statistics Canada Catalogue no. 22200001.
Brunton, Cait and Maire Sinha. 2025. “Consuming user-generated videos and its impact on wellbeing.” Insights on Canadian Society. May. Statistics Canada Catalogue no. 75-006-X.
Council of Canadian Academies. 2023. “Fault Lines.” Expert Panel on the Socioeconomic Impacts of Science and Health Misinformation, CCA.
de Bérail, Pierre and Catherine Bungener. 2022. “Favorite YouTubers as a source of health information during quarantine: viewers trust their favorite YouTubers with health information.” Social Network Analysis and Mining, Vol. 12, no. 88.
Foran, Helen, Howard Bilodeau and Lauren Pinault. 2025. “Concern about misinformation: Connections to trust in media, confidence in institutions, civic engagement, and hopefulness.” Insights on Canadian Society. June. Statistics Canada Catalogue no. 75-006-X.
Kyrychenko, Yara, Hyunjin J. Koo, Rakoen Maertens, Jon Roozenbeek, Sander van der Linden and Friedrich M. Götz. 2025. “Profiling misinformation susceptibility.” Personality and Individual Differences, Vol. 241, no. 113177.
Lockhart, Angus, Nina Rafeek Dow and Zaynab Choudhry. 2025. “Survey of Online Harms in Canada 2025.” The Dais.
Statistics Canada. 2023 (November 10). “Canadian Social Survey - Quality of Life, Virtual Health Care and Trust, 2023.” The Daily.
Yu, Tian, Cheng Wei, Meng Na and Syed Shah Alam. 2026. “Enhancing media literacy to combat information fragmentation in digital short video platforms: a cross-sectional study.” Scientific Reports, Vol. 16, issue 203.
- Date modified: