• The enquiry for original sources is 53% on search engines, but it drops to 46% on social media and 38% on AI chatbots.

• Most people who click on the source link source search engines (59%) and on social media (57%) are looking for more information, while on AI platforms, users also seek to identify the origin of the news (41%)

For the first time, the report a specific question about the enquiry original sources when citizens access news through social media, search engines, and AI chatbots. The goal to examine not only which channels are used to stay informed, but also to what extent those channels maintain a visible and active connection to the journalistic source of the information, and what motivates respondents to do so.

The first conclusion is that the enquiry original sources has not disappeared in the new environments for accessing information, but it does not occupy the same place in all of them either. The data a significant difference between the channels that still function as entrance media (search engines) and those that tend to keep Username an intermediated environment (social media and AI chatbots ). In general, search engines remain the space where access to original sources is most common, while AI chatbots appear to be the environment where such internship least common.

 
Among those who used search engines to find information during the past week, more than half (53%) say they always or often click on the linked original sources. This proportion leave those who used social media (46%) and chatbots AI (38%). The 15-point difference between search engines and artificial intelligence points to two different forms of information intermediation. While the search engine and ranks links based on an algorithm and maintains the source the natural destination for the Username, the chatbot It provides a ready-made answer, in which the source be reduced to a secondary backup for the Username. Obviously, this logic is also evident at the opposite extreme: only a minority (8%) of search engine users do not consult the original sources, compared to 15% of those who use chatbots.

It is worth qualifying these data, however. In the case of artificial intelligence, the most common behavior is not the absence of enquiry, but rather the occasional click: a large proportion of users say they access the original sources “sometimes” (42%). The Username go to the original source, but does not always feel the need to do so. The chatbot’s response often serves as a sufficient answer, especially when consuming information quickly.

At first glance, one might think that less reliable channels would lead enquiry more enquiry original sources. However, the results do not point in that direction. Although news found through search engines inspires relatively more trust (27%) than social media (18%) and chatbots (18%), search engines are the channel through which users most frequently access original sources. Therefore, the enquiry original sources does not depend so much on the trust or distrust inspired by each channel, but rather on the inherent logic of each channel: search engines encourage clicks because they are designed to direct Username an external page.

Social media and chatbots, on the other hand, tend to keep users within the platform itself—either through a continuous stream of content or by generating concise, immediate responses. Distrust may encourage some caution, but it is not enough on its own to foster verification habits if the channel does not facilitate that process. That is why the discussion should discussion be limited to whether users trust each channel more or less, but rather to the role each plays within Username consumption experience. Where the source visible, accessible, and necessary, the click persists. Where information appears summarized, repackaged, or integrated, the source the risk of becoming less central.

 Reasons to consult original sources: to expand, identify, and verify

Understanding the motivations behind accessing original sources helps us understand what the Username is looking for Username they decide to consult them. Overall, the data that the main reason for clicking is to get more details about the news story (expand), followed by the need to learn more about the source the news (identify), and finally, to check whether or not the information was correct (verify).

 
In the case of search engines and social media, the main motivation is clearly to obtain information, and most of those who clicked on an source stated that they wanted to learn more about the news story (59% and 57%, respectively). Verifying the news story (32% in both cases) or identifying the source 31%) took a back seat. Therefore, clicks from search engines and social media do not stem from mistrust or the need to verify the news, but rather from the need to obtain or expand upon the information.

The case of AI chatbots is more unique. Here, too, the most commonly cited reason is to obtain more details about the news story, but the proportion is significantly lower than that for social media and search engines (44%)—fifteen points lower than for search engines and thirteen points lower than for social media. By providing a summary , the chatbot reduces the incentive to visit the source simply to find out more.

Where artificial intelligence stands out the most is in users’ interest in knowing the source 41%, compared to 31% for social media and search engines). As mentioned, in these last two channels, the source is source more visible from the start, unlike with chatbots, where it may be more hidden within the AI-generated response. When a Username , they’re not just looking for content—they also want to know the source of the information.

Motivation based strictly on fact-checking, on the other hand, is not higher among AI users. Only 27% say they clicked to verify that the news was accurate, which is lower than the rate for social media and search engines (32%). This figure confirms the paradox that, although chatbots are not trustworthy, that caution does not necessarily translate into greater verification of the accuracy of the information.