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Disinformation in Open Online Media [[electronic resource] ] : First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers / / edited by Christian Grimme, Mike Preuss, Frank W. Takes, Annie Waldherr
Disinformation in Open Online Media [[electronic resource] ] : First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers / / edited by Christian Grimme, Mike Preuss, Frank W. Takes, Annie Waldherr
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XII, 199 p. 70 illus., 31 illus. in color.)
Disciplina 004
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Computers
Application software
Artificial intelligence
Information Systems and Communication Service
Computer Applications
Artificial Intelligence
ISBN 3-030-39627-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Human Computer Interaction and Disinformation -- Human and Algorithmic Contributions to Misinformation Online -Identifying the Culprit -- Between Overload and Indifference. Detection of Fake Accounts and Social Bots by Community Managers -- Use and Assessment of Sources in Conspiracy Theorists' Communities.-Credibility Development with Knowledge Graphs -- Automated Detection of Nostalgic Text in the Context of Societal Pessimism -- What is Abusive Language? Integrating Different Views on Abusive Language for Machine Learning -- Automation and Disinformation -- Detecting Malicious Social Bots: Story of a Never-Ending Clash -- The Markets of Manipulation: The Trading of Social Bots on Clearnet and Darknet Markets -- Inside the Tool Set of Automation: Free Social Bot Code Revisited -- Analysis of Automation in Account Engagement for Onsetting Twitter Message Cascades -- How Facebook and Google accidentally created a perfect ecosystem for targeted disinformation -- Between Mainstream and Alternative -- Populist Alternative News Media -- Maintaining Journalistic Authority -- State propaganda on Twitter - How Iranian propaganda accounts tried to negatively in uence the discourse on Saudi Arabia.
Record Nr. UNINA-9910373927503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Disinformation in Open Online Media [[electronic resource] ] : First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers / / edited by Christian Grimme, Mike Preuss, Frank W. Takes, Annie Waldherr
Disinformation in Open Online Media [[electronic resource] ] : First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers / / edited by Christian Grimme, Mike Preuss, Frank W. Takes, Annie Waldherr
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XII, 199 p. 70 illus., 31 illus. in color.)
Disciplina 004
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Computers
Application software
Artificial intelligence
Information Systems and Communication Service
Computer Applications
Artificial Intelligence
ISBN 3-030-39627-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Human Computer Interaction and Disinformation -- Human and Algorithmic Contributions to Misinformation Online -Identifying the Culprit -- Between Overload and Indifference. Detection of Fake Accounts and Social Bots by Community Managers -- Use and Assessment of Sources in Conspiracy Theorists' Communities.-Credibility Development with Knowledge Graphs -- Automated Detection of Nostalgic Text in the Context of Societal Pessimism -- What is Abusive Language? Integrating Different Views on Abusive Language for Machine Learning -- Automation and Disinformation -- Detecting Malicious Social Bots: Story of a Never-Ending Clash -- The Markets of Manipulation: The Trading of Social Bots on Clearnet and Darknet Markets -- Inside the Tool Set of Automation: Free Social Bot Code Revisited -- Analysis of Automation in Account Engagement for Onsetting Twitter Message Cascades -- How Facebook and Google accidentally created a perfect ecosystem for targeted disinformation -- Between Mainstream and Alternative -- Populist Alternative News Media -- Maintaining Journalistic Authority -- State propaganda on Twitter - How Iranian propaganda accounts tried to negatively in uence the discourse on Saudi Arabia.
Record Nr. UNISA-996418205203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIV, 702 p. 267 illus.)
Disciplina 004
Collana Theoretical Computer Science and General Issues
Soggetto topico Numerical analysis
Algorithms
Computer science
Artificial intelligence
Computer networks
Numerical Analysis
Models of Computation
Artificial Intelligence
Computer Communication Networks
ISBN 3-319-54157-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto On the effect of scalarising norm choice in a ParEGO implementation -- Multi-objective big data optimization with Metal and Spark -- An empirical assessment of the properties of inverted generational distance indicators on multi- and many-objective optimization -- Solving the Bi-objective traveling thief problem with multi-objective evolutionary algorithms -- Automatically Configuring multi-objective local search using multi-objective optimization -- The multi-objective shortest path problem is NP-hard, or is it -- Angle-based preference models in multi-objective optimization -- Quantitative performance assessment of multi-objective optimizers: The average runtime attainment function -- A multi-objective strategy to allocate roadside units in a vehicular network with guaranteed levels of service -- An approach for the local exploration of discrete many objective optimization problems -- A note on the detection of outliers in a binary outranking relation -- Classifying meta-modeling methodologies for evolutionary multi-objective optimization: First results -- Weighted stress function method for multi-objective evolutionary algorithm based on decomposition -- Timing the decision support for real-world many-objective problems -- On the influence of altering the action set on PROMETHEE II's relative ranks -- Peek { Shape { Grab: a methodology in three stages for approximating the non-dominated points of multi-objective discrete combinatorial optimization problems with a multi-objective meta-heuristic -- A new reduced-length genetic representation for evolutionary multi-objective clustering -- A fast incremental BSP tree archive for non-dominated points -- Adaptive operator selection for many-objective optimization with NSGA-III -- On using decision maker preferences with ParEGO -- First investigations on noisy model-based multi-objective optimization -- Fusion of many-objective non-dominated solutions using reference points -- An expedition to multi-modal multi-objective optimization landscapes -- Neutral neighbors in Bi-objective optimization: Distribution of the most promising for permutation problems -- Multi-objective adaptation of a parameterized GVGAI agent towards several games -- Towards standardized and seamless integration of expert knowledge into multi-objective evolutionary optimization algorithms -- Empirical investigations of reference point based methods when facing a massively large number of objectives: First results -- Building and using an ontology of preference-based multi-objective evolutionary algorithms -- A fitness landscape analysis of pareto local search on Bi-objective permutation flow-shop scheduling problems -- Dimensionality reduction approach for many-objective vehicle routing problem with demand responsive transport -- Heterogeneous evolutionary swarms with partial redundancy solving multi-objective tasks -- Multiple meta-models for robustness estimation in multi-objective robust optimization -- Predator-Prey techniques for solving multi-objective scheduling problems for unrelated parallel machines -- An overview of weighted and unconstrained scalarizing functions -- Multi-objective representation setups for deformation-based design optimization -- Design perspectives of an evolutionary process for multi-objective molecular optimization -- Towards a better balance of diversity and convergence in NSGA-III: First results -- A comparative study of fast adaptive preference-guided evolutionary multi-objective optimization -- A population-based algorithm for learning a majority rule sorting model with coalitional veto -- Injection of extreme points in evolutionary multio-objective optimization algorithms -- The impact of population size, number of children, and number of reference points on the performance of NSGA-III -- Multi-objective optimization for liner shipping fleet repositioning -- Surrogate-assisted partial order-based evolutionary optimization -- Hyper-volume indicator gradient ascent multi-objective optimization -- Toward step-size adaptation in evolutionary multi-objective optimization -- Computing 3-D expected hyper-volume improvement and related integrals in asymptotically optimal time.
Record Nr. UNISA-996466082803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIV, 702 p. 267 illus.)
Disciplina 004
Collana Theoretical Computer Science and General Issues
Soggetto topico Numerical analysis
Algorithms
Computer science
Artificial intelligence
Computer networks
Numerical Analysis
Models of Computation
Artificial Intelligence
Computer Communication Networks
ISBN 3-319-54157-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto On the effect of scalarising norm choice in a ParEGO implementation -- Multi-objective big data optimization with Metal and Spark -- An empirical assessment of the properties of inverted generational distance indicators on multi- and many-objective optimization -- Solving the Bi-objective traveling thief problem with multi-objective evolutionary algorithms -- Automatically Configuring multi-objective local search using multi-objective optimization -- The multi-objective shortest path problem is NP-hard, or is it -- Angle-based preference models in multi-objective optimization -- Quantitative performance assessment of multi-objective optimizers: The average runtime attainment function -- A multi-objective strategy to allocate roadside units in a vehicular network with guaranteed levels of service -- An approach for the local exploration of discrete many objective optimization problems -- A note on the detection of outliers in a binary outranking relation -- Classifying meta-modeling methodologies for evolutionary multi-objective optimization: First results -- Weighted stress function method for multi-objective evolutionary algorithm based on decomposition -- Timing the decision support for real-world many-objective problems -- On the influence of altering the action set on PROMETHEE II's relative ranks -- Peek { Shape { Grab: a methodology in three stages for approximating the non-dominated points of multi-objective discrete combinatorial optimization problems with a multi-objective meta-heuristic -- A new reduced-length genetic representation for evolutionary multi-objective clustering -- A fast incremental BSP tree archive for non-dominated points -- Adaptive operator selection for many-objective optimization with NSGA-III -- On using decision maker preferences with ParEGO -- First investigations on noisy model-based multi-objective optimization -- Fusion of many-objective non-dominated solutions using reference points -- An expedition to multi-modal multi-objective optimization landscapes -- Neutral neighbors in Bi-objective optimization: Distribution of the most promising for permutation problems -- Multi-objective adaptation of a parameterized GVGAI agent towards several games -- Towards standardized and seamless integration of expert knowledge into multi-objective evolutionary optimization algorithms -- Empirical investigations of reference point based methods when facing a massively large number of objectives: First results -- Building and using an ontology of preference-based multi-objective evolutionary algorithms -- A fitness landscape analysis of pareto local search on Bi-objective permutation flow-shop scheduling problems -- Dimensionality reduction approach for many-objective vehicle routing problem with demand responsive transport -- Heterogeneous evolutionary swarms with partial redundancy solving multi-objective tasks -- Multiple meta-models for robustness estimation in multi-objective robust optimization -- Predator-Prey techniques for solving multi-objective scheduling problems for unrelated parallel machines -- An overview of weighted and unconstrained scalarizing functions -- Multi-objective representation setups for deformation-based design optimization -- Design perspectives of an evolutionary process for multi-objective molecular optimization -- Towards a better balance of diversity and convergence in NSGA-III: First results -- A comparative study of fast adaptive preference-guided evolutionary multi-objective optimization -- A population-based algorithm for learning a majority rule sorting model with coalitional veto -- Injection of extreme points in evolutionary multio-objective optimization algorithms -- The impact of population size, number of children, and number of reference points on the performance of NSGA-III -- Multi-objective optimization for liner shipping fleet repositioning -- Surrogate-assisted partial order-based evolutionary optimization -- Hyper-volume indicator gradient ascent multi-objective optimization -- Toward step-size adaptation in evolutionary multi-objective optimization -- Computing 3-D expected hyper-volume improvement and related integrals in asymptotically optimal time.
Record Nr. UNINA-9910483648603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui