35,956 research outputs found

    Designing Chatbots for Crises: A Case Study Contrasting Potential and Reality

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    Chatbots are becoming ubiquitous technologies, and their popularity and adoption are rapidly spreading. The potential of chatbots in engaging people with digital services is fully recognised. However, the reputation of this technology with regards to usefulness and real impact remains rather questionable. Studies that evaluate how people perceive and utilise chatbots are generally lacking. During the last Kenyan elections, we deployed a chatbot on Facebook Messenger to help people submit reports of violence and misconduct experienced in the polling stations. Even though the chatbot was visited by more than 3,000 times, there was a clear mismatch between the users’ perception of the technology and its design. In this paper, we analyse the user interactions and content generated through this application and discuss the challenges and directions for designing more effective chatbots

    Optimal Multiphase Investment Strategies for Influencing Opinions in a Social Network

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    We study the problem of optimally investing in nodes of a social network in a competitive setting, where two camps aim to maximize adoption of their opinions by the population. In particular, we consider the possibility of campaigning in multiple phases, where the final opinion of a node in a phase acts as its initial biased opinion for the following phase. Using an extension of the popular DeGroot-Friedkin model, we formulate the utility functions of the camps, and show that they involve what can be interpreted as multiphase Katz centrality. Focusing on two phases, we analytically derive Nash equilibrium investment strategies, and the extent of loss that a camp would incur if it acted myopically. Our simulation study affirms that nodes attributing higher weightage to initial biases necessitate higher investment in the first phase, so as to influence these biases for the terminal phase. We then study the setting in which a camp's influence on a node depends on its initial bias. For single camp, we present a polynomial time algorithm for determining an optimal way to split the budget between the two phases. For competing camps, we show the existence of Nash equilibria under reasonable assumptions, and that they can be computed in polynomial time

    Defending Elections Against Malicious Spread of Misinformation

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    The integrity of democratic elections depends on voters' access to accurate information. However, modern media environments, which are dominated by social media, provide malicious actors with unprecedented ability to manipulate elections via misinformation, such as fake news. We study a zero-sum game between an attacker, who attempts to subvert an election by propagating a fake new story or other misinformation over a set of advertising channels, and a defender who attempts to limit the attacker's impact. Computing an equilibrium in this game is challenging as even the pure strategy sets of players are exponential. Nevertheless, we give provable polynomial-time approximation algorithms for computing the defender's minimax optimal strategy across a range of settings, encompassing different population structures as well as models of the information available to each player. Experimental results confirm that our algorithms provide near-optimal defender strategies and showcase variations in the difficulty of defending elections depending on the resources and knowledge available to the defender.Comment: Full version of paper accepted to AAAI 201

    Varieties of System Transformations and Their Structural Background Based on the IPS Model

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    This study is the theoretical chapter of a planned book. This book, aims to contribute to the theoretical foundations of similarities and differences in the transformation of party-state systems. Analytical framework of system transformation is based on the extension of the Interactive Party State model (Csan di, 2006) where specifics of the structure and operation of party-state systems and structural background of their disparities were described and analyzed. Self-similarities and disparities of transformation and path-dependency of the variety of systemic outcomes are assigned to structural characteristics of power distribution of party-state systems interpreted as networks. The empirical part of the book uses the Chinese case to test this theory, measuring the dynamics of system transformation, the consequences of short- and long-term external adaptation pressures on the system transformation and long-term consequences of the short-term reactions to these pressures and their spatial disparities. This research was supported by the National Research Foundation in Hungary.system transformation, economic transformation political transformation, sequence of transformation, disparities of transformation, varieties of system outcomes, party-state network
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