Paper "Telling stories about (re)search: research practices reconfigured by digital search technologies", Sabrina Sauer & Berber Hagedoorn, EASST conference 2018: Meetings – Making Science, Technology and Society together, 27 July 2018, Lancaster University, Lancaster
The Media Researcher as Storyteller: Working with Digitized Audiovisual SourcesBerber Hagedoorn
This study offers a first exploratory critique of digital tools' socio-technical affordances in terms of support for narrative creation by media researchers. We reflect on narrative creation processes of research, writing and story composition by Media Studies and Humanities scholars as well as media professionals (journalists, television/image researchers, documentary filmmakers, digital storytellers, media innovation experts) working with cross-media and audiovisual sources, and the pivotal ways in which digital tools inform these processes of search and storytelling. Our study proposes to add to the existing body of user-centered Digital Humanities research by presenting the insights of a cross-disciplinary user study. This involves, broadly speaking, researchers studying audiovisual materials in a co-creative design process, set to fine-tune and further develop a digital tool that supports audiovisual research through exploratory search. This article focuses on how researchers – in both academic as well as professional settings – use digital search technologies in their daily work practices to discover and explore (crossmedia, digital) audiovisual archival material, specifically when studying 'disruptive' media events . We focus on three user types, (1) Media Studies researchers; (2) Humanities researchers that use digitized audiovisual materials as a source for research and (3) media professionals who need to retrieve audiovisual materials for audiovisual text productions. Our study primarily provides insights into the search, retrieval and narrative creation practices of these user groups. However, a user study such as this in which qualitative methods (co-creative design sessions, focus groups, research diaries, questionnaires) are combined, affords fine-grained insights, and informs conclusions about the role of digital tools in meaning-creation processes around working with audiovisual sources.
Reference to our related journal article: Berber Hagedoorn and Sabrina Sauer, ‘The Researcher as Storyteller: Using Digital Tools for Search and Storytelling with Audio-Visual (AV) Materials’, submitted for review to VIEW: Journal of European Television History and Culture (2018)
Relationship Web: Trailblazing, Analytics and Computing for Human ExperienceAmit Sheth
Amit Sheth, "Relationship Web: Trailblazing, Analytics and Computing for Human Experience," Keynote talk at 27th International Conference on Conceptual Modeling (ER 2008) Barcelona, October 20-23 2008.
See associated discussion at:
http://knoesis.org/amit/publications/index.php?page=9
http://knoesis.org/library/resource.php?id=00190
The Media Researcher as Storyteller: Working with Digitized Audiovisual SourcesBerber Hagedoorn
This study offers a first exploratory critique of digital tools' socio-technical affordances in terms of support for narrative creation by media researchers. We reflect on narrative creation processes of research, writing and story composition by Media Studies and Humanities scholars as well as media professionals (journalists, television/image researchers, documentary filmmakers, digital storytellers, media innovation experts) working with cross-media and audiovisual sources, and the pivotal ways in which digital tools inform these processes of search and storytelling. Our study proposes to add to the existing body of user-centered Digital Humanities research by presenting the insights of a cross-disciplinary user study. This involves, broadly speaking, researchers studying audiovisual materials in a co-creative design process, set to fine-tune and further develop a digital tool that supports audiovisual research through exploratory search. This article focuses on how researchers – in both academic as well as professional settings – use digital search technologies in their daily work practices to discover and explore (crossmedia, digital) audiovisual archival material, specifically when studying 'disruptive' media events . We focus on three user types, (1) Media Studies researchers; (2) Humanities researchers that use digitized audiovisual materials as a source for research and (3) media professionals who need to retrieve audiovisual materials for audiovisual text productions. Our study primarily provides insights into the search, retrieval and narrative creation practices of these user groups. However, a user study such as this in which qualitative methods (co-creative design sessions, focus groups, research diaries, questionnaires) are combined, affords fine-grained insights, and informs conclusions about the role of digital tools in meaning-creation processes around working with audiovisual sources.
Reference to our related journal article: Berber Hagedoorn and Sabrina Sauer, ‘The Researcher as Storyteller: Using Digital Tools for Search and Storytelling with Audio-Visual (AV) Materials’, submitted for review to VIEW: Journal of European Television History and Culture (2018)
Relationship Web: Trailblazing, Analytics and Computing for Human ExperienceAmit Sheth
Amit Sheth, "Relationship Web: Trailblazing, Analytics and Computing for Human Experience," Keynote talk at 27th International Conference on Conceptual Modeling (ER 2008) Barcelona, October 20-23 2008.
See associated discussion at:
http://knoesis.org/amit/publications/index.php?page=9
http://knoesis.org/library/resource.php?id=00190
This paper describes the Collective Experience Engine (CEE), a system for indexing Experiential-
Knowledge about Web knowledge-sources (websites), and performing relative-experience calculations
between participants of the CEE. The CEE provides an in-browser interface to query the collective
experience of others participating in the CEE. This interface accepts a list of URLs, to which the CEE adds
additional information based on the Queryee's previously indexed Experiential-Knowledge. The core of the
CEE is its Experiential-Context Conversation (ECConversation) functionality, whereby an collection of a
person’s Web Experiential-Knowledge can be utilized to allow a real-world conversation-like exchange of
information to take place, including adjusting information-flow based on the Queryee's experiential
background and knowledge, and providing additional experientially-related knowledge integrated into the
answer from multiple selected 'experience donors'. A relative-experience calculation ensures that
information is retrieved only from relative-experts, to ensure sufficient additional information exists, but
that such information isn't too advanced for the Queryee to process. This paper gives an overview of the
CEE, and the underlying algorithms and data structures, and describes a system architecture and
implementation details.
Content that is posted on and shared via Social Media networks has had a profound effect on how we communicate. It changed the way information is spread and consumed dramatically. This also had significant impacts on traditional ways of information gathering and distribution.
Social Media can have both positive and negative effects. It can be used for various purposes, ranging from effective disaster management to news reporting and the intentional spreading of false information such as propaganda or marketing.
In order to better evaluate and classify content residing in Social Networks, it is necessary to filter and assess its information value in terms of credibility, trustworthiness, reputation, popularity, influence, authenticity and proximity.
What is the REVEAL project about?
REVEAL focuses on verification technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and enterprise community managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.
Poster: Perspectives on Increasing Competency in Using Digital Practices and ...Katja Reuter, PhD
We believe that the quality and efficiency of all phases of the clinical and translational research (CTR) process can potentially be increased by using digital practices and tools in open and networked contexts. However, most CT researchers lack the training to take advantage of the benefits that the Internet and the social Web provide. Standardized training in digital practices and tools (Digital Scholarship) to conduct CTR has not been formalized through structured curriculum, learning approaches, and evaluation. Our overall goal is to develop a robust curriculum to train CTR researchers in digital scholarship. Here we present preliminary data from a qualitative study that describes the range of key stakeholders’ perspectives on the need to: (A) formalize educational efforts in digital scholarship among CTR trainees; and (B) develop an educational framework that defines core competencies, methods, and evaluation methods. Presented at Translational Science 2018 conference in Washington, DC on April 20, 2018.
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...eMadrid network
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for Supporting discovery and reuse of OER. An approach based on Social Networks Analysis and Linked Open Data
Researching Social Media – Big Data and Social Media AnalysisFarida Vis
Researching Social Media – Big Data and Social Media Analysis, presentation for the Social Media for Researchers: A Sheffield Universities Social Media Symposium, 23 September 2014
Initial plans for a dissertation on creating an assessment toolkit for the purposes of grading college and university students in networked learning settings
This is a presentation that describes at a high level some of the work we've been performing related to NodeXL and it's use to understand social media networks.
There are both challenges and opportunities in the existing scenario characterized by heavy emphasis on collaboration, digitization and onset of social media. One needs to be connected with theme, institution, industry and society. The web 2.0 technologies make it possible for a researcher to be a connected one.
A hands-on approach to digital tool criticism: Tools for (self-)reflectionMarijn Koolen
Digital tool criticism is a recent and important discussion in Digital Humanities research. We define digital tool criticism as the reflection on the role of digital tools in the research methodology and the evaluation of the suitability of a given digital tool for a specific research goal. The aim is to understand the impact of any limitation of the tool on the specific goal, not to improve a tool’s performance. That is, ensuring as a scholar to be aware of the impact of a tool on research design, methods, interpretations and outcomes. Our goal with developing digital tool criticism as a method is to help scholars better understand how research methods, tools and activities shape our interpretations. Based on our experiences with two hands-on workshops on digital tool criticism, we find that reflection on using digital tools and data in all phases of the research process is key.
Reflection urges scholars to consider digital data and tools as part of the overall research goals and design, and interdependent with other elements of research design, namely research questions and methods. As scholars go through their research process, assumptions on the research design and the connection between tools, data and questions are constantly challenged, forcing updates in the design and the interpretation of data and question.
This paper describes the Collective Experience Engine (CEE), a system for indexing Experiential-
Knowledge about Web knowledge-sources (websites), and performing relative-experience calculations
between participants of the CEE. The CEE provides an in-browser interface to query the collective
experience of others participating in the CEE. This interface accepts a list of URLs, to which the CEE adds
additional information based on the Queryee's previously indexed Experiential-Knowledge. The core of the
CEE is its Experiential-Context Conversation (ECConversation) functionality, whereby an collection of a
person’s Web Experiential-Knowledge can be utilized to allow a real-world conversation-like exchange of
information to take place, including adjusting information-flow based on the Queryee's experiential
background and knowledge, and providing additional experientially-related knowledge integrated into the
answer from multiple selected 'experience donors'. A relative-experience calculation ensures that
information is retrieved only from relative-experts, to ensure sufficient additional information exists, but
that such information isn't too advanced for the Queryee to process. This paper gives an overview of the
CEE, and the underlying algorithms and data structures, and describes a system architecture and
implementation details.
Content that is posted on and shared via Social Media networks has had a profound effect on how we communicate. It changed the way information is spread and consumed dramatically. This also had significant impacts on traditional ways of information gathering and distribution.
Social Media can have both positive and negative effects. It can be used for various purposes, ranging from effective disaster management to news reporting and the intentional spreading of false information such as propaganda or marketing.
In order to better evaluate and classify content residing in Social Networks, it is necessary to filter and assess its information value in terms of credibility, trustworthiness, reputation, popularity, influence, authenticity and proximity.
What is the REVEAL project about?
REVEAL focuses on verification technologies, tools and strategies. It aims to develop tools, components and strategies that aid journalists and enterprise community managers in identifying, assessing and verifying User Generated Content (UGC) on Social Networks.
In REVEAL, we aim to reveal and analyse much more than bare content. The analysis framework for assessing the credibility of information found in Social Networks is based on three main pillars: Contributor, Content and Context.
Joint analysis of the validity of Contributor, Content and Context provides a more thorough approach for revealing truthfulness.
Poster: Perspectives on Increasing Competency in Using Digital Practices and ...Katja Reuter, PhD
We believe that the quality and efficiency of all phases of the clinical and translational research (CTR) process can potentially be increased by using digital practices and tools in open and networked contexts. However, most CT researchers lack the training to take advantage of the benefits that the Internet and the social Web provide. Standardized training in digital practices and tools (Digital Scholarship) to conduct CTR has not been formalized through structured curriculum, learning approaches, and evaluation. Our overall goal is to develop a robust curriculum to train CTR researchers in digital scholarship. Here we present preliminary data from a qualitative study that describes the range of key stakeholders’ perspectives on the need to: (A) formalize educational efforts in digital scholarship among CTR trainees; and (B) develop an educational framework that defines core competencies, methods, and evaluation methods. Presented at Translational Science 2018 conference in Washington, DC on April 20, 2018.
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...eMadrid network
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for Supporting discovery and reuse of OER. An approach based on Social Networks Analysis and Linked Open Data
Researching Social Media – Big Data and Social Media AnalysisFarida Vis
Researching Social Media – Big Data and Social Media Analysis, presentation for the Social Media for Researchers: A Sheffield Universities Social Media Symposium, 23 September 2014
Initial plans for a dissertation on creating an assessment toolkit for the purposes of grading college and university students in networked learning settings
This is a presentation that describes at a high level some of the work we've been performing related to NodeXL and it's use to understand social media networks.
There are both challenges and opportunities in the existing scenario characterized by heavy emphasis on collaboration, digitization and onset of social media. One needs to be connected with theme, institution, industry and society. The web 2.0 technologies make it possible for a researcher to be a connected one.
A hands-on approach to digital tool criticism: Tools for (self-)reflectionMarijn Koolen
Digital tool criticism is a recent and important discussion in Digital Humanities research. We define digital tool criticism as the reflection on the role of digital tools in the research methodology and the evaluation of the suitability of a given digital tool for a specific research goal. The aim is to understand the impact of any limitation of the tool on the specific goal, not to improve a tool’s performance. That is, ensuring as a scholar to be aware of the impact of a tool on research design, methods, interpretations and outcomes. Our goal with developing digital tool criticism as a method is to help scholars better understand how research methods, tools and activities shape our interpretations. Based on our experiences with two hands-on workshops on digital tool criticism, we find that reflection on using digital tools and data in all phases of the research process is key.
Reflection urges scholars to consider digital data and tools as part of the overall research goals and design, and interdependent with other elements of research design, namely research questions and methods. As scholars go through their research process, assumptions on the research design and the connection between tools, data and questions are constantly challenged, forcing updates in the design and the interpretation of data and question.
Social networking sites are a significant source of information to know the behavior of users and to know
what is occupying society of all ages and accordingly helpful information can be provided to specialists
and decision-makers. According to official sources, 98.43% of Saudi youth use social networking sites. The
study and analysis of social media data are done to provide the necessary information to increase
investment opportunities within the Kingdom of Saudi Arabia, by studying and analyzing what people
occupy on the communication sites through their tweets about the labor market and investment. Given the
huge volume of data and also its randomness, a survey of the data will be done and collected from through
keywords, the priority of arranging the data, and recording it as (positive - negative - mixed). The study
analysis and conclusion will be based on data-mining and its techniques of analysis and deduction
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Social networking sites are a significant source of information to know the behavior of users and to know
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study and analysis of social media data are done to provide the necessary information to increase
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occupy on the communication sites through their tweets about the labor market and investment. Given the
huge volume of data and also its randomness, a survey of the data will be done and collected from through
keywords, the priority of arranging the data, and recording it as (positive - negative - mixed). The study
analysis and conclusion will be based on data-mining and its techniques of analysis and deduction.
The Research Data Alliance: Creating the culture and technology for an intern...Research Data Alliance
All of society’s grand challenges -- be it addressing rapid climate change, curing cancer and other disease, providing food and water for more than seven billion people, understanding the origins of the universe or the mind -- all of them require diverse and sometimes very large data to to be shared and integrated across cultures, scales, and technologies. This requires a new form and new conception of infrastructure. The Research Data Alliance (RDA) is creating and implementing this new data infrastructure. It is building the connections that make data work across social and technical barriers.
RDA launched in March 2013 as a international alliance of researchers, data scientists, and organizations to build these connections and infrastructure to accelerate data-driven innovation. RDA facilitates research data sharing, use, re-use, discoverability, and standards harmonization through the development and adoption of technologies, policy, practice, standards, and other deliverables. We do this through focussed Working Groups, exploratory Interest Groups, and a broad, committed membership of individuals and organizations dedicated to improving data exchange.
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Telling stories about (re)search: research practices reconfigured by digital search technologies
1. Telling stories about (re)search
Research practices reconfigured by digital search software
Sabrina Sauer & Berber Hagedoorn
EASST 2018 – Software Sorted Subjectivities
27-7-2018
2. How do digital exploratory search tools reconfigure research
practices of media researchers?
1. Understand how technological developments affect engagement with media
content, how users and producers relate
2. Case study of media researcher interactions with DIVE+, a linked open data
browser
3. How interdisciplinary development of the browser reconfigures Digital
Humanities as a discipline – linked data as linking disciplines
3. Interpreting ‘disruptive’ media events as narratives
● Specific actors (newscasters, governments, institutions) use media events to build
narratives in line with political, economic or cultural views.
● Media researchers also build narratives around events; prior research underlines
the importance of visualizing, constructing and storing of narratives during the
information navigation to contextualize material (Akker et al., 2011; Kruijt,
2016; De Leeuw, 2012).
Hayden White:
“How to change knowing
into telling”
Berber Hagedoorn:
study of media
texts/representations
in relation to media
makers (industrial
actors and memory
makers)”
4. Media researchers increasingly use
digital archives to create media texts.
This means that retrieving audio-visual
material requires an in-depth knowledge
of how to find sources digitally.
By understanding how media researchers search and
find audio-visual materials, we access insights into tacit
knowledge as embodied knowledge (Polanyi), the
tactics that are used to “play” the audio-visual archive.
And so, grasp how digital search tools reconfigure
research practices.
Searching for a story, shapes the story
5. Prior insights into relation search & storytelling
Search and storytelling practices are intertwined & governed by socio-technical constraints and
affordances
Tensions between these constraints and affordances shape the narrative creation practice
Improvisation process
Source: Sauer & De Rijke, 2016
7. DIVE+ and the CLARIAH Media
Suite:
- Potential of exploratory search
- Discovery of research questions
- Narrative creation
http://diveplus.beeldengeluid.nl
8.
9. 9
From
document centric to
linked data
This is an alternative
way to look at a
knowledge graph that
combines meta data,
annotations, enrichments
10. Method: researching DIVE+ as storytelling device
• User-centered design methodology to map search and
storytelling practices
• 124 users:
7 Focus groups & 24 interviews;
Tasks & talk aloud protocols
Surveys/questionnaires & research diaries
• Insights on data, interface and user level to inform
browser development
• Insights about interdisciplinary collaboration to
understand expertise in Digital Humanities
discipline
11. DATA
INTERFACE
USER
DATA LEVEL
• Enrichment of
annotation, links,
entities, narratives
about events
INTERFACE LEVEL
• Recommendations
for automatic
suggestions of
starting points for
search &
exploration
USER LEVEL
• Relation between
exploratory search
and & narrative
creation
• In-depth insights
into search process
of media
researchers
INSIGHTS on
different levels
12. ● Scholars see themselves as storytellers – align with this positioning
● Exploratory search triggers, refines and helps develop research
questions but has a steep learning curve
● It affords a “randomness” of source selection that opens up potential
to find sources that other methods might not reveal
● Yet expressed need for more control over search filters, as they are
used to search interfaces with many search fields
● Prior experience, again, is thus an important factor impacting the
interpretation and selection experience.
User insights: how exploratory search configures storytelling
13. - The tool and interface’s narrative affordances
○ 'Meaning is attributed to the way one searches and conducts research' – Media Studies researcher [resp.
58]
○ 'The meaning is formed by the search tools you use and the way that you search' – Media Studies
researcher [resp. 64]
○ 'Real connections still have to be made in an old and traditional way... in the mind of the researcher' –
Humanities researcher [resp. 14]
- The resulting search or narrative path, which represents a mediated
event as a (more or less) narrative, is not seen as neutral
○ 'I believe that the narrative metaphor does not really apply to my research, because I do not produce
sequential data, but rather a metastructure, which cannot be told as a story' – Humanities researcher [resp.
56]
Interface insights: how exploratory search supports storytelling
14. - This last point relates to the data level: Linked open data offers opportunities to
explore new knowledge graphs
- However, this seems to be problematic when it comes to investigating and
generating narratives in an exploratory search tool such as DIVE+ – because
currently, although exploratory search and the visualization of the search path
can support narrative creation, researchers currently do not grasp how the tool
mediates an 'attitude' or 'demeanor'.
Data insights: how exploratory search supports storytelling
▪ 'Even a database has a hidden
agenda (...) Can I trust the
algorithm?' – Media professional
[resp. 3] (our emphasis).
15. DATA
INTERFACE
USER
Linking disciplines as a brokering
community practice
• Translating user insights based on user
interactions with affordances of linked
data into tool recommendations.
• Negotiations between interests,
technical alignment with overarching
Media Suite, disciplinary ideas about
concepts.
à interactional expertise trading zones
(Klein 2015)
• Example: “Narrative”
• The tool is a boundary object, part of
the trading zone
• Interactional expertise as part of
brokering
16. Narrative as example of interdisciplinary brokering
Recommendations for the tool:
• Visualizations of events in “narratives” or search journeys are greatly
valued, yet scholars struggle with contextualizing the presented linked data
as entities are from different collections – each with its own socio-technical
and historical context.
• Much like our negotiations during meetings – what is a narrative, what is
an event?
17. Result of brokering with user as starting point
• Give users agency to annotate how they perceive connections
between linked entities to create their narratives about events.
• Provides a way to trace your own research process, documented in
search paths.
18. ● Linked (Open) Data seems to trigger serendipitous ideas for narratives
● Search tactics are used to find and retrieve sources that the researcher expects, and
knows how to ground in a body of knowledge
● But contextualizing entities, and awareness of framing afforded by serendipitous
information retrieval, is so essential to the media researcher that DIVE+ should
allow users to ground data.
● Ultimately, this study provides insights into different perspectives that define the
framing of mediated events, and offers a critique of digital tools’ socio-technical
affordances in terms of their support for narrative creation by media researchers
(Hagedoorn & Sauer 2018, Sauer 2017).
Conclusion: Research practices reconfigured by exploratory search
19. What does this imply about knowledge exploration and
interdisciplinary collaboration within Digital humanities
• Brokering via a boundary object: on the level of the tool
• Double dance: understanding users, understanding each other
• Brokering work = tacit work
• Tool criticism = also about using tools as boundary objects
• Understanding collaboration as a brokering community practice paves the
way for a sociology of digital humanities to also focus on the work that is part
of tool research, creation and maintenance.
• Linked data as a productive metaphor for DH work; to give agency to the
process of collaborative tool development, maintenance and use.
Understand this linking of disciplines through an analysis of collaboration
– interactional expertise, boundary objects and practices of translation.
