Figure 4 HypTrails-computed Bayesian evidence for hypotheses plausibility on shared editing interest Wikipedia data.
We demonstrate that similarity of co-editing interests between language communities can be partially explained by the number of bilinguals and by linguistic similarity of the languages themselves.
Sections 4 and 5 will focus on identifying and explaining co-editing interests, give a technical overview of the quantitative methods, and report the results.
In this paper, we tap into the traces left by editors of Wikipedia to gain new insights into how language communities on Wikipedia relate to each other via common co-editing interests.
In this paper, we study the network of global interconnections between language communities, based on shared co-editing interests of Wikipedia editors, and show that although English is discussed as a potential lingua franca of the digital space, its domination disappears in the network of co-editing similarities, and instead local connections come to the forefront.
If you would like to become a CCN mentor to current students, please log in to the Network section of the website, select "Edit My Profile" from the left hand-side menu, and click Volunteer Sign-up under "Edit My Interests". Additionally, we encourage you to take a moment to also edit your alumni profile search settings so that students are able to connect with you via social networking.
If you would like to sign-up online, please log in to the Network section of the website, select "Edit My Profile" from the left hand-side menu, and click Volunteer Sign-up under edit my interests.
AdFisher also showed that a Google transparency tool called "ads settings," which lets you view and edit the "interests" the company has inferred for you, does not always reflect potentially sensitive information being used to target you.
Another finding was that Google's ad settings transparency tool, which lets users view and edit the interests the company has inferred for them (based on tracking their digital behavior), does not always reflect potentially sensitive information that is being used to target them with ads.
Another finding was that Google's ad settings transparency tool, which lets users view and edit the interests the company has inferred for them (based on tracking their digital behavior), does not always reflect potentially sensitive information that is being used to target them with ads.
