Talk at Leopoldina Symposium on Digitization and its Effects on Man and Society
(Die Digitalisierung und ihre Auswirkungen auf Mensch und Gesellschaft)
leopoldina.org/de/veranstaltungen/veranstaltung/event/2464/
This general slideset is intended for science based educators who work with the public. It is about how to understand the role social media (and social networks) play in public information dissemination, especially relating to natural resources. It is not about watersheds, or specific tools, rather about building strategies and understanding current web uses.
Slides include notes.
This general slideset is intended for science based educators who work with the public. It is about how to understand the role social media (and social networks) play in public information dissemination, especially relating to natural resources. It is not about watersheds, or specific tools, rather about building strategies and understanding current web uses.
Slides include notes.
Web Futures: Inclusive, Intelligent, SustainableSteffen Staab
Almost from its very beginning, the Web has been ambivalent.
It has facilitated freedom for information, but this also included the freedom to spread misinformation. It has faciliated intelligent personalization, but at the cost of intrusion into our private lifes. It has included more people than any other system before, but at the risk of exploiting them.
The Web is full of such ambivalences and the usage of artificial intelligences threatens to further amplify these ambivalences. To further the good and to contain the negative consequences, we need a research agenda studying and engineering the Web, as well as numerous activities by societies at large. In this talk, I will present and discuss a joint effort by an interdisciplinary team of Web Scientists to prepare and pursue such an agenda.
From the adoption of content management systems to the explosion of Web 2.0 features, museum websites have undergone enormous growth and change over the past decade. This session features three speakers who have been working in the museum website space during this critical period of rapid growth and change. Presented at the California Association of Museums Annual Conference in San Jose, CA, March 2010.
Delivered at SMX Social Media 2014, this presentation explores the user social sharing behavior and how to craft a user experience that capitalizes on user preference for social search.
Collaboration and VO in the Developing Worldsdprager
A short presentation on the use of cyberinfrastructure for creating virtual organizations and fostering collaboration in the developing world. Prepared for a panel discussion @ http://bit.ly/dgijA7.
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Steffen Staab
Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.
Knowledge graphs for knowing more and knowing for sureSteffen Staab
Knowledge graphs have been conceived to collect heterogeneous data and knowledge about large domains, e.g. medical or engineering domains, and to allow versatile access to such collections by means of querying and logical reasoning. A surge of methods has responded to additional requirements in recent years. (i) Knowledge graph embeddings use similarity and analogy of structures to speculatively add to the collected data and knowledge. (ii) Queries with shapes and schema information can be typed to provide certainty about results. We survey both developments and find that the development of techniques happens in disjoint communities that mostly do not understand each other, thus limiting the proper and most versatile use of knowledge graphs.
Web Futures: Inclusive, Intelligent, SustainableSteffen Staab
Almost from its very beginning, the Web has been ambivalent.
It has facilitated freedom for information, but this also included the freedom to spread misinformation. It has faciliated intelligent personalization, but at the cost of intrusion into our private lifes. It has included more people than any other system before, but at the risk of exploiting them.
The Web is full of such ambivalences and the usage of artificial intelligences threatens to further amplify these ambivalences. To further the good and to contain the negative consequences, we need a research agenda studying and engineering the Web, as well as numerous activities by societies at large. In this talk, I will present and discuss a joint effort by an interdisciplinary team of Web Scientists to prepare and pursue such an agenda.
From the adoption of content management systems to the explosion of Web 2.0 features, museum websites have undergone enormous growth and change over the past decade. This session features three speakers who have been working in the museum website space during this critical period of rapid growth and change. Presented at the California Association of Museums Annual Conference in San Jose, CA, March 2010.
Delivered at SMX Social Media 2014, this presentation explores the user social sharing behavior and how to craft a user experience that capitalizes on user preference for social search.
Collaboration and VO in the Developing Worldsdprager
A short presentation on the use of cyberinfrastructure for creating virtual organizations and fostering collaboration in the developing world. Prepared for a panel discussion @ http://bit.ly/dgijA7.
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Steffen Staab
Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.
Knowledge graphs for knowing more and knowing for sureSteffen Staab
Knowledge graphs have been conceived to collect heterogeneous data and knowledge about large domains, e.g. medical or engineering domains, and to allow versatile access to such collections by means of querying and logical reasoning. A surge of methods has responded to additional requirements in recent years. (i) Knowledge graph embeddings use similarity and analogy of structures to speculatively add to the collected data and knowledge. (ii) Queries with shapes and schema information can be typed to provide certainty about results. We survey both developments and find that the development of techniques happens in disjoint communities that mostly do not understand each other, thus limiting the proper and most versatile use of knowledge graphs.
Symbolic Background Knowledge for Machine LearningSteffen Staab
Machine learning aims at learning complex functions from data. Very often, this challenge remains ill-defined given the available amount of data, however, background knowledge that is available as knowledge graphs, ontologies or symbolic (physical) equations allows for an improved specification of the targeted solution. In this talk, we want to discuss several use cases that include symbolic background knowledge as regularizing priors, as constraints or as other inductive biases into machine learning tasks.
Soziale Netzwerke und Medien: Multi-disziplinäre Ansätze für ein multi-dimens...Steffen Staab
Präsentation von Oul Han und Steffen Staab
Workshop "Soziale Netzwerke und Medien" auf dem Treffen des Fakultätentags Informatik, 14. November 2019, Hamburg
Concepts in Application Context ( How we may think conceptually )Steffen Staab
Formal concept analysis (FCA) derives a hierarchy of concepts
in a formal context that relates objects with attributes. This approach is very well aligned with the traditions of Frege, Saussure and Peirce, which relate a signifier (e.g. a word/an attribute) to a mental concept evoked by this word and meant to refer to a specific object in the real world. However, in the practice of natural languages as well as artificial languages (e.g. programming languages), the application context
often constitutes a latent variable that influences the interpretation of a signifier. We present some of our current work that analyzes the usage of words in natural language in varying application contexts as well as the usage of variables in programming languages in varying application contexts in order to provide conceptual constraints on these signifiers.
Storing and Querying Semantic Data in the CloudSteffen Staab
Daniel Janke and Steffen Staab. Tutorial at Reasoning Web
With proliferation of semantic data, there is a need to cope with trillions of triples by horizontally scaling data management in the cloud. To this end one needs to advance (i) strategies for data placement over compute and storage nodes, (ii) strategies for distributed query processing, and (iii) strategies for handling failure of compute and storage nodes. In this tutorial, we want to review challenges and how they have been addressed by research and development in the last 15 years.
The evolution of the Web should move forward in an upward spiral that cylces between guiding values, engineering and science. Guiding values should comprise social values as well as system principles that further stabilization and growth of the Web. Principles I will talk about will include social inclusion, connectedness and fairness. Example efforts improve Web access for disabled, critically access Web structures and Web growth, and try to transfer knowledge about previously found patterns of Web growth to analogous cases.
(Semi-)Automatic analysis of online contentsSteffen Staab
How can media and discourse analyses combine approaches from humanities and statistical methods to deeply analyse large amounts of online contents.
Invited talk at Fachgruppen-Workshop der Deutschen Gesellschaft für Publizistik und Kommunikationswissenschaft
Soziale Medien – Echo-Kammer oder öffentlicher Raum?
Ansätze zur computergestützten Analyse von Internet-Korpora
6. Oktober 2016, Karlsruher Institut für Technologie (KIT)
Joint Keynote at Int. Conference on Knowledge Engineering and Semantic Web and Prague Computer Science Seminar, Prague, September 22, 2016
The challenges of Big Data are frequently explained by dealing with Volume, Velocity, Variety and Veracity. The large variety of data in organizations results from accessing different information systems with heterogeneous schemata or ontologies. In this talk I will present the research efforts that target the management of such broad data.
They include: (i) an integrated development environment for programming with broad data, (ii) a query language that allows for typing of query results, (iii) a typed lambda-calculus based on description logics, and (iv) efficient access to data repositories via schema indices.
We use metadata of various kind to improve and enrich text document clustering using an extension of Latent Dirichlet Allocation (LDA). The methods are fully implemented, evaluated and software is available on github.
These are the slides of an invited talk I gave September 8 at the Alexandria Workshop of TPDL-2016: http://alexandria-project.eu/events/3rd-workshop/
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
BREEDING METHODS FOR DISEASE RESISTANCE.pptxRASHMI M G
Plant breeding for disease resistance is a strategy to reduce crop losses caused by disease. Plants have an innate immune system that allows them to recognize pathogens and provide resistance. However, breeding for long-lasting resistance often involves combining multiple resistance genes
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
1. Steffen Staab Opinion Formation and Spreading 1Institute for Web Science and Technologies · University of Koblenz-Landau, Germany
Web and Internet Science Group · ECS · University of Southampton, UK &
Opinion Formation and Spreading
Schafft Digitalisierung eine eigene Dynamik in der
Meinungsbildung?
Steffen Staab
@ststaab
http://west.uni-koblenz.de
http://wais.soton.ac.uk
2. Steffen Staab Opinion Formation and Spreading 2
Individual Opinion Formation vs Opinion Spreading
(Staab, 2013)
3. Steffen Staab Opinion Formation and Spreading 4
Individual online behavior and personality
(Buckels et al., Trolls just want to have fun, Personality and Individual Differences 2014)
4. Steffen Staab Opinion Formation and Spreading 5
Herbert Simon: Satisficing = satisfying + sufficient
• Classification of information to be satisficing,
not to achieve optimal information organization
Individual Satisficing Information Processing
5. Steffen Staab Opinion Formation and Spreading 6
• Experiment A: Classify web pages by bookmarks
– Recommender A1: suggest classification by others
– Recommender A2: suggest earlier classification by yourself
• Experiment B:
Construct optimal information structure
• Result:
– A2 hides majority opinion
A2 yields results closer to optimal information structure
(Dellschaft & Staab, 2008, 2012)
Individual Satisficing Information Processing
7. Steffen Staab Opinion Formation and Spreading 9
What makes something famous?
• Gangnam style?
• Mona Lisa?
• Trump tweets?
• Double rainbow?
Communication Internal Events vs.
Communication External Events
8. Steffen Staab Opinion Formation and Spreading 10
Network structure – who follows whom?
From (Weng et al, Scientific Reports 2012)
9. Steffen Staab Opinion Formation and Spreading 11
Majority Illusion
(Lerman et al., 2015)
10. Steffen Staab Opinion Formation and Spreading 12
(Salganik, Dodds, Watts, Science 2006)
• Experiment
– 48 unknown songs
– Nine “worlds“ with
different users
– Songs start being liked
differently in each world
– A song that starts being
liked is liked even more
– Virtuous reinforcement
Unpredictability
Market share fluctuates heavily between
different worlds
12. Steffen Staab Opinion Formation and Spreading 14
Recipes for Spreading Misinformation
Quoting (Metaxas et al, WebSci 2010)
Comparison by (Metaxas et al, WebSci 2017)
Recipes handle unpredictability
13. Steffen Staab Opinion Formation and Spreading 15
Herding Behaviour - Dislikes
1-2 €
per
1000
views
(CPM)
plus
extras
14. Steffen Staab Opinion Formation and Spreading 16
Clickbait Economics
(Silverman & Alexander, Buzzfeed, November 2016)
15. Steffen Staab Opinion Formation and Spreading 17
Media Economics
• Offline media publishes daily or twice daily
• Online media must publish every hour
– The message becomes the news
• Trump generates news by producing messages
Social Media
• (some) individuals become publishers
– Different participant types tend to have different personality profiles
Temporality
Faster republishing cycles beget
increasing dynamics beget
increasing competition for attention beget
increasing unpredictability
16. Steffen Staab Opinion Formation and Spreading 18
Good or bad? (my subjective judgement)
Good
• Self-empowerment
– Political movements,
e.g. Campact
– Decentralized culture
Bad
• Group manipulation
– By economic players
(clickbait)
– By political players
(Breitbart)
– By consultancies
(Cambridge analytica)
17. Steffen Staab Opinion Formation and Spreading 19
Wo aber Gefahr ist, wächst
das Rettende auch. Hölderlin
Where is danger, grows
salvation, too.
18. Steffen Staab Opinion Formation and Spreading 20
• Confirmation bias
– Very hard to turn one‘s opinion
– Easier:
• Enforce belief
• Spread doubt
– Online viral marketing often does not work
• Everything is different the second time
– Election campaigns don‘t repeat themselves
– Facebook now is different than 5 years ago
– New online media on the rise
Individual Resilience
(Watts: Everything Is Obvious: *Once You Know the Answer)
19. Steffen Staab Opinion Formation and Spreading 21
>100 Fact checking networks: IFCN
• Fact checking website: snopes.com
• Deleting shared content based on comments
https://fullfact.org/blog/2017/jun/general-election-2017-factchecked/
Societal Resilience: Fact Checking
(Friggeri et al,
ICWSM-2014)
21. Steffen Staab Opinion Formation and Spreading 23
• Who defines what resilience is beneficial?
• How to further resilience?
• Need for joint research of
– Social sciences, humanities, computer science, etc.
Conclusion: Individual, Network & Resilience