Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings

In this paper we present a novel interactive multimodal learning system, which facilitates search and exploration in large networks of social multimedia users. It allows the analyst to identify and select users of interest, and to find similar users in an interactive learning setting. Our approach is based on novel multimodal representations of users, words and concepts, which we simultaneously learn by deploying a general-purpose neural embedding model. We show these representations to be useful not only for categorizing users, but also for automatically generating user and community profiles. Inspired by traditional summarization approaches, we create the profiles by selecting diverse and representative content from all available modalities, i.e. the text, image and user modality. The usefulness of the approach is evaluated using artificial actors, which simulate user behavior in a relevance feedback scenario. Multiple experiments were conducted in order to evaluate the quality of our multimodal representations, to compare different embedding strategies, and to determine the importance of different modalities. We demonstrate the capabilities of the proposed approach on two different multimedia collections originating from the violent online extremism forum Stormfront and the microblogging platform Twitter, which are particularly interesting due to the high semantic level of the discussions they feature

2003-2007 Report on Hate Crimes and Discrimination Against Arab Americans

Analyzes rates, patterns, and sources of anti-Arab-American hate crimes and discrimination, including detainee abuse, delays in naturalization, and threats; civil liberties concerns; bias in schools; and defamation in the media. Includes case summaries

DISCOURSE-DRIVEN MEANING CONSTRUCTION IN NEOSEMANTIC NOUN-TO-VERB CONVERSIONS [MEANING CONSTRUCTION IN NOUN-TO-VERB CONVERSIONS]

Neosemantic noun-to-verb conversions such as beer → to beer, door → to door, pink → to pink, etc., constitute a particularly interesting field of study for Cognitive Linguistics in that they call for a discourse-guided and context-based analysis of meaning construction. The present article takes a closer look at the cognitive motivation for the conversion process involved in the noun-verb alterations with a view to explaining the semantics of some conversion formations in relation to the user-centred discourse context. The analysis developed in this article draws from the combined insights of Fauconnier and Turner’s (2002) Conceptual Integration Theory and Langacker’s (2005, 2008) Current Discourse Space

Targeting Arab/Muslim/South Asian Americans: Criminalization and Cultural Citizenship

In this essay, we further explore the responses of Arab and South Asian Muslim communities to the War on Terror, and ask whether these responses reveal alliance-building and pan-ethnic identification. Do the targeted groups, now portrayed as monolithic, find solidarity with each other, and if so, what are the bases for their sense of affinity. These questions force us to consider the deeper issues of pan-ethnic and political affiliation that highlight quandaries at the core of Asian American studies: how does a pan-ethnic approach challenge or support the racial and cultural categories used by state and empire to subordinate and divide populations

Visualization of and Access to CloudSat Vertical Data through Google Earth

Online tools, pioneered by the Google Earth (GE), are facilitating the way in which scientists and general public interact with geospatial data in real three dimensions. However, even in Google Earth, there is no method for depicting vertical geospatial data derived from remote sensing satellites as an orbit curtain seen from above. Here, an effective solution is proposed to automatically render the vertical atmospheric data on Google Earth. The data are first processed through the Giovanni system, then, processed to be 15-second vertical data images. A generalized COLLADA model is devised based on the 15-second vertical data profile. Using the designed COLLADA models and satellite orbit coordinates, a satellite orbit model is designed and implemented in KML format to render the vertical atmospheric data in spatial and temporal ranges vividly. The whole orbit model consists of repeated model slices. The model slices, each representing 15 seconds of vertical data, are placed on the CloudSat orbit based on the size, scale, and angle with the longitude line that are precisely and separately calculated on the fly for each slice according to the CloudSat orbit coordinates. The resulting vertical scientific data can be viewed transparently or opaquely on Google Earth. Not only is the research bridged the science and data with scientists and the general public in the most popular way, but simultaneous visualization and efficient exploration of the relationships among quantitative geospatial data, e.g. comparing the vertical data profiles with MODIS and AIRS precipitation data, becomes possible

Iran, America and Iranian American Community in Firoozeh Jazayeri Dumas\u27 Funny in Farsi

Post 9/11 the United States of America concerns the reconstruction of already demonized identities of Arabs and Middle-eastern cultures. Postcolonial works reside in their rendering a tragic or serious image of Middle Easterners to bring the Western (American) audience into sympathizing with the Middle Eastern ethnicities. Could it be the case that a fundamentally humorous (not derogatory) depiction might contribute to easing such cultural tensions? Firoozeh Jazayeri Dumas\u27 works stand out as critically acclaimed and successful works familiarizing the American audience with the more humane, likeable, sweet and funny aspects of the Iranians and Iranian culture, and the hardships of being an Iranian immigrant and becoming a hybrid individual. This article explores the already-hybridized self and psyche of Firoozeh as an Iranian American. She writes about her mother land and her residence country and comparing the way she has written about them can help readers understand how one can make peace between different parts of her identity

What is Probable Cause, and Why Should We Care?: The Costs, Benefits, and Meaning of Individualized Suspicion

Taslitz defines probable cause as having four components: one quantitative, one qualitative, one temporal, and one moral. He focuses on the last of these components. Individualized suspicion, the US Supreme Court has suggested, is perhaps the most important of the four components of probable cause. That is a position with which he heartily agree. The other three components each play only a supporting role. But individualized suspicion is the beating heart that gives probable cause its vitality