Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userVolatility in the Issue Attention Economy
99
0
0.0
(
0
)
Added by
Scott A. Hale
Publication date
2018
fields
Informatics Engineering
and research's language is
English
Ask ChatGPT about the research
No Arabic abstract
Recent election surprises and regime changes have left the impression that politics has become more fast-moving and unstable. While modern politics does seem more volatile, there is little systematic evidence to support this claim. This paper seeks to address this gap in knowledge by reporting data over the last seventy years using public opinion polls and traditional media data from the UK and Germany. These countries are good cases to study because both have experienced considerable changes in electoral behaviour and have new political parties during the time period studied. We measure volatility in public opinion and in media coverage using approaches from information theory, tracking the change in word-use patterns across over 700,000 articles. Our preliminary analysis suggests an increase in the number of opinion issues over time and a growth in lack of predictability of the media series from the 1970s.
rate research
Read More
This paper explores the hypothesis that the diversity of human languages, right now a barrier to interoperability in communication and trade, will become significantly less of a barrier as machine translation technologies are deployed over the next several years.But this new boundary-breaking technology does not reduce all boundaries equally, and it creates new challenges for the distribution of ideas and thus for innovation and economic growth.
Over the past 200 years, rising rates of information proliferation have created new environments for information competition and, consequently, new selective forces on information evolution. These forces influence the information diet available to consumers, who in turn choose what to consume, creating a feedback process similar to that seen in many ecosystems. As a first step towards understanding this relationship, we apply animal foraging models of diet choice to describe the evolution of long and short form media in response to human preferences for maximising utility rate. The model describes an increase in information rate (i.e., entropy) in response to information proliferation, as well as differences in entropy between short-form and long-form media (such as social media and books, respectively). We find evidence for a steady increase in word entropy in diverse media categories since 1900, as well as an accelerated entropy increase in short-form media. Overall the evidence suggests an increasingly competitive battle for our attention that is having a lasting influence on the evolution of language and communication systems.
Online traces of human activity offer novel opportunities to study the dynamics of complex knowledge exchange networks, and in particular how the relationship between demand and supply of information is mediated by competition for our limited individual attention. The emergent patterns of collective attention determine what new information is generated and consumed. Can we measure the relationship between demand and supply for new information about a topic? Here we propose a normalization method to compare attention bursts statistics across topics that have an heterogeneous distribution of attention. Through analysis of a massive dataset on traffic to Wikipedia, we find that the production of new knowledge is associated to significant shifts of collective attention, which we take as a proxy for its demand. What we observe is consistent with a scenario in which the allocation of attention toward a topic stimulates the demand for information about it, and in turn the supply of further novel information. Our attempt to quantify demand and supply of information, and our finding about their temporal ordering, may lead to the development of the fundamental laws of the attention economy, and a better understanding of the social exchange of knowledge in online and offline information networks.
Development of network economy changes the institutional maintenance of economic relations. On change to traditional channels of distribution virtual networks of distribution of production come. In article features and mechanisms of transformation of chains deliveries in e-commerce reveal.
In university programs and curricula, in general we react to the need to meet market needs. We respond to market stimulus, or at least try to do so. Consider now an inverted view. Consider our data and perspectives in university programs as reflecting and indeed presaging economic trends. In this article I pursue this line of thinking. I show how various past events fit very well into this new view. I provide explanation for why some technology trends happened as they did, and why some current developments are important now.
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
