Credibility and Human Information Behavior
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Transcript Credibility and Human Information Behavior
Soo Young Rieh
School of Information
University of Michigan
Information Ethics Roundtable
Misinformation and Disinformation
April 3-4, 2009
University of Arizona, Tucson
Yale Group – Carl Hovland (1950s)
Defined credibility as a
receiver-based construct
Determined by audience’s
acceptance of a speaker
Credibility = trustworthiness
and expertise
Looking at both source
credibility (characteristics of
speakers) and message
credibility (characteristics of
messages or information)
Two key dimensions
Trustworthiness:
Perceived goodness and
morality of the source
Expertise: perceived
knowledge, skill, and
experience of the
source
Credibility Typology 1
Presumed credibility
Based on general assumptions (stereotype)
Reputed credibility
Endorsement from people, media, source
Surface credibility
From simple inspection
Experienced credibility
Based on first-hand experience
Tseng & Fogg (1999)
Credibility Typology 2
Conferred credibility
Recommended or produced by well-regarded
entities
Tabulated credibility
Influenced by other individual’s ratings or
recommendations
Emergent credibility
Arises from group and social engagement
Flanagin & Metzger (2008)
Related Concepts
Information Quality
Credibility of one of the chief aspects of quality
Credibility provides one more layer of evaluation to
select items that are initially judged to be good
enough
Cognitive Authority
More than competence and trustworthiness
Influence other people’s thoughts individually
Trust
Reliability, dependability, confidence in a person,
object, or process
Rieh & Danielson (2007)
What is Human Information Behavior?
Human information behavior
How do people recognize information need,
seek for information and use the information
through various types of systems, services,
technology
Totality of human behavior including both
active and passive information seeking and
information use
What is Information Seeking Behavior?
What people do in response to goals
(intentions) which require information support
How people seek information by interacting
with various information systems
Information Searching Behavior
Behavior employed by the searcher in
interacting with information systems
Nature of Credibility
Selecting credible information during the
information seeking process is a challenge
People make judgments of information
credibility
Judgments and decisions are always made
internally and can be observed through choice
and its outcome
Credibility assessments are shaped by,
embedded within, and exert an influence on
people’s information seeking process
Credibility and HIB
Credibility assessment can be better
understood by examining information seeking
strategies with respect to goals and tasks
Credibility assessment as a process
Predictive Judgments
Predictions reflecting what they can expect when
accessing information resources
Evaluative Judgments
They express values and preferences about
information
Verification
My Past Credibility Research
Credibility assessment in the process of
information seeking and Web searching
Credibility assessment in a wide variety of
information seeking activities using diverse
sources and media
Credibility assessment with respect to various
goals and tasks related to school, work,
health, product, hobbies, entertainment, etc.
Exploratory Study (1998)
How do people make judgments about
information quality and authority?
Do people apply their evaluation criteria used
in traditional information systems to those in
the Web?
Rieh & Belkin (1998). ASIST Proceedings
Major Findings from 1998 Study
The interviewees were more or less concerned
with evaluating information quality depending
upon three factors:
Consequences of use of information
Act or commitment based on information
The focus of inquiry
Most interviewees employed “different rules”
or “different evaluation criteria” for the Web
than in traditional information systems
Experimental Study (2002)
How do people decide which information
source(s) to look at when they make choices
among multiple sources in the Web?
To what extent are people concerned with
quality and authority when they search in the
Web?
What are the characteristics and factors that
influence people’s judgments about
information quality and cognitive authority?
Rieh (2002). JASIST
Major Findings from 2002 Study
Judgment and decision making in the Web is a
continuous process
Subjective, relative, and situational nature in
the dimensions of quality and authority
Content as a critical factor
Diverse ways of characterizing sources
Institutional level of source > individual level of
source
Characteristics
of information
objects
Predictive
Judgment
Characteristics of
sources
Judgment of IQ and CA
- 5 dimensions of IQ
- 6 dimensions of CA
User’s
knowledge
Status/
discipline
Other
factors
Task
Evaluative
Judgment
Predictive
Judgment
Credibility Judgments and Everyday Life
Information Seeking Study (2008)
How do people make credibility assessment with
respect to a variety of information activities using
diverse sources and media?
How are people’s credibility concerns are related
to their information seeking goals?
How do people’ credibility assessment influence
on their information seeking strategies?
Rieh & Hilligoss (2008). A chapter in Digital media, youth, and
credibility; Hilligoss & Rieh (2008). Information Processing &
Management;
Major Findings from 2008 Study
Credibility concerns are closely related to
information seeking goals in terms of
consequences of information use
Credibility judgments in social context
When information obtained affects other people,
credibility concerns increase
Participants relied on other people’s credibility
judgments
Credibility assessment can be better understood
by looking at information seeking strategies
Starting at a trusted place
Using multiple resources and cross-referencing
Three Levels of
Credibility Assessment
Construct: conceptualizations of credibility
Heuristics: General rules of thumb which
are broadly applicable to a variety of
situations
Interaction: Specific attributes associated
with particular information objects and
sources for credibility judgments
A Unifying Framework of Credibility Assessment
Context
Construct
Truthfulness, believability, trustworthiness,
objectivity, reliability
Heuristics
Media-related, source-related,
endorsement-based, aesthetics-based
Interaction
Content cues, peripheral source cues,
peripheral information object cues
Information
Influence of Each Level
Construct
Provides a particular point of view for judging
credibility
Heuristics
Provides effective ways of finding useful
information conveniently and making credibility
judgments quickly
Interaction
Provides characteristics of information source or
object on which a judgment can be based
Context: Provides boundaries by
Guiding the selection of resources
Limiting the applicability of judgments
Key Challenges
Complexity and continuation of Information
Seeking
For one information seeking episode, people use
multiple media resources over time
From information seekers to creators
A new set of heuristics might be used as people
engage in a variety of information activities
including finding, summarizing, rating, creating,
sharing
Encourage people to make effort for selecting and
using credible information by emphasizing the
consequences of bad judgments and decisions
based on information
Next Steps
Credibility Assessment in the Participatory
Web Environment Project 2008-2011 funded
by the MacArthur Foundation
Goals
To identify new sets of constructs and heuristics
of credibility assessment have emerged in the
participatory Web environment (Web 2.0)
To examine the relationship among online
activity, user context, motivation, confidence,
and credibility assessment
Research Questions in Progress
To what extent people’s involvement in the
participatory Web is related to their concerns
about credibility?
How do people assess the credibility of usergenerated content (UGC)?
When people post UCC (user-created content)
or UMC (user-mediated content) on publicly
accessible web sites, to what extent are they
concerned about credibility?
Soo Young Rieh
School of Information
University of Michigan
[email protected]
www.si.umich.edu/rieh