"Dynamically Inserted Ads
In recent years, ad technology has allowed for ads to
be targeted and dynamically inserted at
the time of file request. The
ad
server determines the best ad to serve to the listener at the time
of request. In a podcast consumed online, ads may be inserted into a file that is being
progressively downloaded
at designated ad breaks
. Some
publishers
may count this dynamic
ad serve
as an "impression"
without confirming ad delivery. T
he metrics in this document focus
on confirming that the ad was delivered. S
erver log
s can
confirm that the
enti
r
e
ad
file was
downloaded
, but the process for counting a served ad can
only determine that ad file was sent
."
We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests. The proposed model uses dimensionality reduction for preprocessing the Likes data, which are then entered into logistic/linear regression to predict individual psychodemographic profiles from Likes. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African Americans and Caucasian Americans in 95% of cases, and between Democrat and Republican in 85% of cases. For the personality trait "Openness," prediction accuracy is close to the test-retest accuracy of a standard personality test. We give examples of associations between attributes and Likes and discuss implications for online personalization and privacy.
This classic work explores the vast differences between oral and literate cultures and offers a brilliantly lucid account of the intellectual, literary and social effects of writing, print and electronic technology.
The Narrative Paradox is a theory that describes interaction and narrative cohesion as being in tension, and asserts that the structure of a narrative is disrupted by user adaptivity, leading to possible incoherence as the system accounts for interaction.
The Narrative Paradox is a theory that describes interaction and narrative cohesion as being in tension, and asserts that the structure of a narrative is disrupted by user adaptivity, leading to possible incoherence as the system accounts for interaction.
Computer vision has made significant progress in recent decades, with steady
improvements in the performance and robustness of computational methods for real-time
detection, recognition, tracking, and modeling
People feel they understand complex phenomena with far greater precision, coherence, and depth than they really do; they are subject to an illusion-an illusion of explanatory depth. The illusion is far stronger for explanatory knowledge than many other kinds of knowledge, such as that for facts, procedures or narratives. The illusion for explanatory knowledge is most robust where the environment supports real-time explanations with visible mechanisms