William Dron
BBN Technologies
16 Papers
81 Citations
William Dron is an academic researcher from BBN Technologies. The author has contributed to research in topics: Scheduling (computing) & Wireless sensor network. The author has an hindex of 8, co-authored 16 publications. Previous affiliations of William Dron include Raytheon.
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Papers
Assessing the News Landscape: A Multi-Module Toolkit for Evaluating the Credibility of News
Benjamin D. Horne,William Dron,Sara Khedr,Sibel Adali +3 more
- 23 Apr 2018
TL;DR: The NELA Toolkit is an open source toolkit for the systematic exploration of the news landscape, which allows users to explore the credibility of news articles using well-studied content-based markers of reliability and bias, as well as, filter and sort through article predictions based on the user's own needs.
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Data Acquisition for Real-Time Decision-Making under Freshness Constraints
Shaohan Hu,Shuochao Yao,Haiming Jin,Yiran Zhao,Yitao Hu,Xiaochen Liu,Nooreddin Naghibolhosseini,Shen Li,Akash Kapoor,William Dron,Lu Su,Amotz Bar-Noy,Pedro Szekely,Ramesh Govindan,Reginald L. Hobbs,Tarek Abdelzaher +15 more
- 01 Dec 2015
TL;DR: The paper describes a novel algorithm for timely sensor data retrieval in resource-poor environments under freshness constraints, applied in the context of minimizing cost of finding unobstructed routes between specified locations in a disaster zone by retrieving data on the health of individual route segments.
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•Posted Content
Sampling the News Producers: A Large News and Feature Data Set for the Study of the Complex Media Landscape
TL;DR: In this article, the authors present a large political news data set, containing over 136k news articles, from 92 news sources, collected over 7 months of 2017, carefully chosen to include well-established and mainstream sources, maliciously fake sources, satire sources, and hyper-partisan political blogs.
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The Information Funnel: Exploiting Named Data for Information-Maximizing Data Collection
Shiguang Wang,Tarek Abdelzaher,Santhosh Gajendran,Ajith Herga,Sachin Kulkarni,Shen Li,Hengchang Liu,Chethan Suresh,Abhishek Sreenath,Hongwei Wang,William Dron,Alice Leung,Ramesh Govindan,John Hancock +13 more
- 26 May 2014
TL;DR: A novel transport abstraction, called the information funnel, encapsulates a data collection protocol for social sensing that maximizes a measure of delivered information utility, that is the minimized data redundancy, by diversifying the data objects to be collected.
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Information-maximizing caching in Ad Hoc networks with named data networking
William Dron,Alice Leung,M. Uddin,Shiguang Wang,Tarek Abdelzaher,Ramesh Govindan,John Hancock +6 more
- 26 Sep 2013
TL;DR: It is shown that the approach allows development of caching policies for ad hoc networks that simultaneously offer better quality of information, higher throughput, and higher throughput in terms of responses per query, and lower latency.
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