- Open Access
The economy of attention in the age of (mis)information
© Bessi et al.; licensee Springer. 2014
- Received: 3 July 2014
- Accepted: 27 November 2014
- Published: 31 December 2014
In this work we present a thorough quantitative analysis of information consumption patterns of qualitatively different information on Facebook. Pages are categorized, according to their topics and the communities of interests they pertain to, in a) alternative information sources (diffusing topics that are neglected by science and main stream media); b) online political activism; and c) main stream media. We find similar information consumption patterns despite the very different nature of contents. Then, we classify users according to their interaction patterns among the different topics and measure how they responded to the injection of 2788 false information (parodistic imitations of alternative stories). We find that users prominently interacting with alternative information sources – i.e. more exposed to unsubstantiated claims – are more prone to interact with intentional and parodistic false claims.
- Attention patterns
- Rumor spreading
People can populate their informational domain – i.e. the amount of information available to a society member. The functioning of socio-technical systems, as any socio-cognitive system, requires individuals to interact in order to acquire information to cope with uncertainty. In particular, when dealing with content selection, the efficacy of such systems rely on the accuracy and the completeness of information. In order to have complete information, individuals need perspectives, where all the relevant angles of looking are presented as squarely and objectively as possible. However, the unprecedented diffusion of online social media allowed the massive and proactive production of different perspectives and narratives. Along this path, research on trust needs to account for the relation between information available and its role in the public opinion.
In fact, each decision needs cognitive strategies to reduce the level of uncertainty in the process of beliefs’ formation and revision with respect to the decision’s consequences. Reputation systems are used to collect and analyze information about the performance of service entities with the purpose of computing reputation scores for service objects and service entities. A fundamental assumption of reputation systems is that reputation scores can help predict the future performance of the respective entities and thereby reduce uncertainty of relying parties during the decision making processes -.
However, the World Economic Forum, in its 2013 report , has listed the “massive digital misinformation” as one of the main risks for the modern society. People perceptions, knowledge, beliefs, and opinions about the world and its evolution get (in)formed and modulated through the information they can access, most of which coming from newspapers, television , and, more recently, the Internet. The world wide web has changed the way we can pursue intellectual growth or shape ideas. In particular, large social networks, with their user-provided content, are facilitating the study of how the economy of attention leads to specific patterns for the emergence, production, and consumption of information -.
Despite the enthusiastic rhetoric about the ways in which new technologies have burst the interest in debating political or social relevant issues -, the role of the socio-technical system in enforcing informed debates still remains unclear. Indeed, the emergence of knowledge from this process has been dubbed collective intelligence or even more rhetorically wisdom of crowds-, although we have become increasingly aware of the presence of unsubstantiated or untruthful rumors.
In this paper we show a genuine example of how false information is particularly pervasive on social media, fostering sometimes a sort of collective credulity. We perform a thorough quantitative analysis of information consumption patterns of qualitatively different information on Facebook over a set of 50 pages on which interacted 2.3 million of users. In order to study attention and consumption patterns of different contents we divide pages in categories according to the kind of narrative supported. More precisely, pages are categorized, according to their topics and the communities of interests they pertain to, in a) alternative information sources (diffusing topics that are neglected by science and main stream media); b) online political activism; and c) main stream media.
Then, we classify users according to their interaction patterns among the different topics and measure how they responded to the injection of 2788 false information (parodistic imitations of alternative stories). Our findings show a) similar information consumption patterns despite the very different nature of contents and b) that users prominently interacting with alternative information sources – i.e. more exposed to unsubstantiated claims – are more prone to interact with intentional and parodistic false claims.
The impressive pervasiveness of unsubstantiated rumors online has been listed as one of the main risk for our society for its effect on the public opinion. Our experiment aims at understanding the effect of the exposure to unsubstantiated claims on the content selection criteria and, in particular, if such an exposure might lead to interact with information that are intentionally false.
Firstly, we show users attention patterns with respect to different kind of contents, and then we look at who are the users more prone to interact with intentional false information according to the content they are usually exposed to. To do this, we focus on the Italian Facebook ecosystem and we define three categories of pages according to the kind of information they promote. The categorization of the pages is based on their different social functions together with the type of information they disseminate. The first category includes all pages of main stream newspapers; the second category consists of alternative information sources – pages which disseminate controversial information, often lacking supporting evidence and sometimes contradictory of the official news (e.g. conspiracy theories, link between vaccines and autism, etc); the third category is that of self-organized online political movements – with the role of gathering users to publicly convey discontent against the current political and socio-economic situation (e.g. one major political party in Italy has most of its activity online). The criteria to define pages categories are based on pages’ self-description and the kind of content they disseminate. All national newspapers active of Facebook belongs to mainstream news. Pages of political activism and alternative news have been identified with the help of Facebook groups very active in the debunking unsubstantiated rumors. However, all pages of alternative news in their mission declare to have the role to disseminate information neglected by “manipulated main stream media”.
Breakdown of Facebook dataset
Likes to Comments
The information space
Information consumption patterns
To provide a better picture of fruition patterns with respect to different information, we continue our analysis by zooming in at the level of posts. Recalling that the division of pages in categories accounts for the very distinctive nature between political discussion and kind of information used (mainstream or alternative), we focus on the coexistence in the political discussion of mainstream news and conspiracy-like information. Firstly, we analyze general fruition patterns in terms of number of comments, likes and shares for posts grouped by page category. Then, to characterize the online discussion around qualitatively different information, we measure the duration of collective debates for each post diffused by the different pages.
Information-based communities are aggregated around shared narratives and the debates among them contribute to the proliferation of political pages and alternative information sources with the aim to organize and convey the public discontent (with respect to the crisis and the decisions of the national government) by exploiting the Internet peculiarities. According to our results, collective debates grounded of different information persist similarly, independently of whether the topic is the product of conspiracist or mainstream source. In this portion of the Italian Facebook ecosystem, untruthful rumors spread and trigger viral debate, representing an important part of the information flow animating the political scenario and shaping the public opinion.
Interaction with false information
The goal of our study is to detect potential bias induced by the exposure to untruthful rumors on users’ content selection criteria in an information environment where mainstream and alternative news reverberate in a similar way. Now we want to measure the attitude of a user to interact with intentional parodistic false information.
Continuing our investigation, we want to understand if this information context might affect the users’ selection criteria. Therefore, we measure the reaction of users to a set of 2788 false information injected by a troll page – i.e. a page promoting caricatural version of alternative news and political activism stories (see Section Narratives on online social media for further details).
For better discriminating users’ behavior, we focus on the users’ activity rates on the various categories looking for the polarized ones – i.e. users that are mostly exposed to one type of content among mainstream news, political activism and alternative news.
the topic of the post is coherent with the theme of the page on which it was published;
a user is interested in the topic of the post if he/she likes the post. A comment – although it reflects interest – is more ambiguous, thus it is not considered to express a positive preference of the topic;
we neither have access to nor try to guess the page subscription list of the users, regardless of their privacy settings. Every step of the analysis involves only the active (participating) users on each page.
According to our results, users with strong preferences for alternative information sources, perhaps motivated by the will to avoid the manipulation played by mainstream media controlled by the government, are more susceptible to false information. Our result suggests that those who took a less systematic (more heuristic) approach in evaluating any evidence were more likely to end up with an account that was more consistent with their previous beliefs even if these are parodistic posts.
The free circulation of contents is facilitating users attention to critical matter such as the financial crisis as well as any political argument. However, in this work we show that unsubstantiated rumors are pervasive in online social media and they might affect users belief formation and revision.
Information based on conspiracy are able to create a climate of disengagement from mainstream society and from officially recommended practices  – e.g. vaccinations, diet, etc. Conspiracy thinking exposes individuals to unsubstantiated (difficult to verify) hypotheses providing alternative explanations to reality -. In particular, conspiracists are prone to explain significant social or political aspects as plots conceived by powerful individuals or organizations . Furthermore our results suggests that exposure to unsubstantiated rumors might facilitate the interaction with intentional false claims such as the case of Senator Cirenga.
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