Subtopic Deep Dive
Everyday Life Information Seeking
Research Guide
What is Everyday Life Information Seeking?
Everyday Life Information Seeking (ELIS) studies informal information practices in daily contexts like health, leisure, and community outside formal institutions.
ELIS examines naturalistic behaviors, social networks, and contextual influences on non-academic information needs. Reijo Savolainen's 1995 paper (996 citations) frames ELIS within 'way of life' contexts. Over 10 key papers from 1995-2015, including Agosto and Hughes-Hassell (2005, 188 citations), document behaviors across urban youth and undergraduates.
Why It Matters
ELIS insights guide public library services and digital tools for non-academic needs, such as health information for first-time mothers (Loudon et al., 2015, 86 citations) and fiction selection (Ooi and Liew, 2011, 68 citations). College students' web use for daily research (Head and Eisenberg, 2011, 96 citations) informs platform design. Social media as sources for undergraduates (Kim et al., 2014, 185 citations) shapes information literacy programs.
Key Research Challenges
Contextual Variability
Information seeking varies by life domains like health or leisure, complicating general models. Savolainen (1995) links behaviors to 'way of life,' but applications differ across groups. Agosto and Hughes-Hassell (2005) highlight urban young adults' unique places and questions.
Social Media Integration
Undergraduates increasingly use social media for everyday info, blending social and informational roles. Kim et al. (2014) surveyed students on platforms like Wikipedia. Measuring reliability amid casual use remains difficult.
Digital-Web Shifts
College students rely on web for daily research, but habits evolve rapidly. Head and Eisenberg (2011) analyzed 8,353 responses across 25 campuses. Tracking longitudinal changes challenges researchers.
Essential Papers
Everyday life information seeking: Approaching information seeking in the context of “way of life”
Reijo Savolainen · 1995 · Library & Information Science Research · 996 citations
People, places, and questions: An investigation of the everyday life information-seeking behaviors of urban young adults
Denise E. Agosto, Sandra Hughes‐Hassell · 2005 · Library & Information Science Research · 188 citations
Undergraduates’ Use of Social Media as Information Sources
Kyung‐Sun Kim, Sei‐Ching Joanna Sin, Eun Young Yoo-Lee · 2014 · College & Research Libraries · 185 citations
Social media have become increasingly popular among different user groups. Although used for social purposes, some social media platforms (such as Wikipedia) have been emerging as important informa...
2012 top ten trends in academic libraries: A review of the trends and issues affecting academic libraries in higher education
ACRL Research Planning and Review Committee · 2012 · College & Research Libraries News · 113 citations
The ACRL Research Planning and Review Committee is responsible for creating and updating a continuous and dynamic environmental scan for the association that encompasses trends in academic libraria...
The academic and the everyday: Investigating the overlap in mature undergraduates' information–seeking behaviors
Lisa M. Given · 2002 · Library & Information Science Research · 112 citations
How college students use the Web to conduct everyday life research
Alison J. Head, Michael B. Eisenberg · 2011 · First Monday · 96 citations
This paper reports on college students’ everyday life information-seeking behavior and is based on findings from 8,353 survey respondents on 25 U.S. college campuses. A large majority of respondent...
Supporting Informed Learners in the Twenty-first Century
Christine Bruce, Hilary Hughes, Mary M. Somerville · 2012 · Library trends · 88 citations
This article elaborates the concept of informed learning and locates it in educational, workplace, and community settings. Drawing on existing research into people’s experience of information liter...
Reading Guide
Foundational Papers
Start with Savolainen (1995, 996 citations) for core 'way of life' framework, then Agosto and Hughes-Hassell (2005, 188 citations) for urban youth behaviors, and Given (2002, 112 citations) for academic-everyday overlap.
Recent Advances
Study Kim et al. (2014, 185 citations) on social media, Loudon et al. (2015, 86 citations) on mothers, and Head and Eisenberg (2011, 96 citations) on web research.
Core Methods
Core techniques: large-scale surveys (Head and Eisenberg, 2011), interviews (Loudon et al., 2015), social network analysis (Agosto and Hughes-Hassell, 2005), and way-of-life contextual framing (Savolainen, 1995).
How PapersFlow Helps You Research Everyday Life Information Seeking
Discover & Search
Research Agent uses searchPapers and exaSearch to find ELIS literature like Savolainen (1995), then citationGraph reveals 996 citing works and findSimilarPapers uncovers related behaviors in health contexts from Loudon et al. (2015).
Analyze & Verify
Analysis Agent applies readPaperContent to extract behaviors from Agosto and Hughes-Hassell (2005), verifies claims with CoVe chain-of-verification, and runs PythonAnalysis on citation data for statistical trends in social media use (Kim et al., 2014) with GRADE scoring for evidence strength.
Synthesize & Write
Synthesis Agent detects gaps in ELIS models for digital natives, flags contradictions between academic and everyday seeking (Given, 2002), while Writing Agent uses latexEditText, latexSyncCitations for Savolainen (1995), and latexCompile to produce polished reports with exportMermaid diagrams of behavior flows.
Use Cases
"Analyze citation trends in ELIS papers using Python."
Research Agent → searchPapers('Everyday Life Information Seeking') → Analysis Agent → runPythonAnalysis(pandas on citation counts from Savolainen 1995 to Kim 2014) → matplotlib trend plot exported as image.
"Write a LaTeX review on urban youth ELIS behaviors."
Research Agent → citationGraph(Agosto 2005) → Synthesis Agent → gap detection → Writing Agent → latexEditText(structure review) → latexSyncCitations(188 refs) → latexCompile(PDF output with sections on places/questions).
"Find code for analyzing social media info seeking data."
Research Agent → paperExtractUrls(Kim 2014) → Code Discovery → paperFindGithubRepo → githubRepoInspect → runPythonAnalysis(reproducible survey stats on undergraduate Wikipedia use).
Automated Workflows
Deep Research workflow scans 50+ ELIS papers via searchPapers, structures reports on behaviors from Savolainen (1995) to Loudon (2015) with GRADE grading. DeepScan applies 7-step analysis with CoVe checkpoints to verify social media trends (Kim et al., 2014). Theorizer generates models linking 'way of life' contexts to modern web habits (Head and Eisenberg, 2011).
Frequently Asked Questions
What defines Everyday Life Information Seeking?
ELIS studies informal info practices in daily contexts like health and leisure outside institutions, as defined by Savolainen (1995).
What are key methods in ELIS research?
Methods include surveys of 8,353 students (Head and Eisenberg, 2011), interviews with urban youth (Agosto and Hughes-Hassell, 2005), and book club studies (Ooi and Liew, 2011).
What are major ELIS papers?
Top papers: Savolainen (1995, 996 citations), Agosto and Hughes-Hassell (2005, 188 citations), Kim et al. (2014, 185 citations).
What open problems exist in ELIS?
Challenges include modeling social media reliability (Kim et al., 2014), longitudinal web shifts (Head and Eisenberg, 2011), and domain-specific variations like motherhood (Loudon et al., 2015).
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