Human Vs Digital Search
Upcoming SlideShare
Loading in...5
×
 

Human Vs Digital Search

on

  • 661 views

A discussion of the potential for "human-assisted" development using social media platforms.

A discussion of the potential for "human-assisted" development using social media platforms.

Statistics

Views

Total Views
661
Views on SlideShare
640
Embed Views
21

Actions

Likes
0
Downloads
1
Comments
0

2 Embeds 21

http://www.viralhousingfix.com 20
http://www.slideshare.net 1

Accessibility

Categories

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Human Vs Digital Search Human Vs Digital Search Presentation Transcript

  • Schematic Representation and Discussion of “Digital Search” vs. “Human Search”
  • Digital search vs. human search • Digital search depends on context, relevance and link interaction to determine the value of discrete content elements (web pages, video elements, digital images) • Human search in the purest sense incorporates a person’s perspective, experience and influence in the organization of information about a specific topic. – In this schematic, the term “human search” is used to describe a digital search that incorporates the behavior of individuals in their collection, dissemination and interaction with content. April 10, 2009 ©2009 by Daniel R. McCarthy/VHF Media Group
  • Digital Search Schematic Start: Search Search results Term is entered delivered in order of relative weight of internal & external characteristics Index of pages is searched for internal and external characteristics Context Contextual relevance Links Analysis of how the words Analysis of how relevant the Analysis of the links into the site. and the images relate to words on the content element Links are assessed for each other. are to the search terms. freshness, quality and independence. April 10, 2009 ©2009 by Daniel R. McCarthy/VHF Media Group
  • Discussion of the components of Digital search • Digital search indexes each web element – a web page and the incorporated text, video, photograph – to capture each discrete bit of content and the interaction from other web page. • Context is determined by the way the different elements in the page relate to each other. – Are the language and images used in a logical way that conforms to standard practices. – Is the content fresh • The relative value of the content elements is assessed in terms of discrete interactions from external sources. – How many links are directed to this specific web element? – Are those links from web elements that are consistent and dependable, i.e., conform to the standards of context that has been established by the search engine. • After context and relative value are established, the web elements are exposed to specific search terms, and examined for Contextual Relevance. – How closely do specific web elements conform to the specific terms that have been used in a search. • Relative placement in search results is determined by the degree to which each element is ranked in terms of their contextual relevance and the quality of external interaction. April 10, 2009 ©2009 by Daniel R. McCarthy/VHF Media Group
  • Human Search Schematic Search term is entered Indexed Content Database Each content element Content elements are has a series of assessed for relevance to associations indicating the search term, the influence of the contextual relevance and individuals who link activity according to originated the content standard search Person originates a and the frequency and protocols. content element that type of interaction with is shared with his the content. connections. Individuals in his group of connections act on the content. Each action is associated with the piece of content. The content is Search results associated to the originator and incorporate the the interactor. If the content is redistributed, the person who relative interest and redistributes it is also associated influence of as an originator, and further actions are associated with the individuals and groups content. of individuals April 10, 2009 ©2009 by Daniel R. McCarthy/VHF Media Group
  • Discussion of the components of Human Search • Human search incorporates the patterns of how individuals interacts with each other and with the content that they share between themselves with the contextual components of digital search. • Each person is considered an object. • Individuals are single parts of interlocking groups of connections • Each content element that is distributed by a person is associated at its root with that person. • The content element is considered a second object • Content is then evaluated in terms of the frequency that other people in the core connected group interact with it. • Interactions include accessing the content, redistributing the content, commenting on the content to the originator or ignoring the content. • Content elements are evaluated for relevance and quality based on the actions of the group and the habits of the group. • For instance, if the content element has contextual similarities to other pieces of the content that the group interacts with frequently, and the group takes a number of with this specific piece of content, then the content is rated high in terms of relevance. • Standard digital search routines are executed on each content element to assess context and contextual relevance. April 10, 2009 ©2009 by Daniel R. McCarthy/VHF Media Group
  • Relevance of Social Media to Human Search • Individuals and groups of individuals are more clearly defined on social media platforms – Twitter followers – Facebook Friends – FriendFeed Friends • Content elements are discretely shared between connected groups. – Majority of content resides on originating server in originating format. – Content is further enriched by comments/interactions within social media platform. • Content database will grow rapidly – Real-time value is high – Archival value will grow as individuals achieve impact and influence through identifying and sharing content elements that are relevant and interesting to their groups of connection. April 10, 2009 ©2009 by Daniel R. McCarthy/VHF Media Group
  • Impediments to implementation • Processing & storage capabilities • Ability to associate content originator to content elements and successive actions. • Completeness of data base of content elements with associations. • Privacy issues. April 10, 2009 ©2009 by Daniel R. McCarthy/VHF Media Group