Using Twitter to learn about the autism community

Considering the raising socio-economic burden of autism spectrum disorder (ASD), timely and evidence-driven public policy decision making and communication of the latest guidelines pertaining to the treatment and management of the disorder is crucial. Yet evidence suggests that policy makers and medical practitioners do not always have a good understanding of the practices and relevant beliefs of ASD-afflicted individuals' carers who often follow questionable recommendations and adopt advice poorly supported by scientific data. The key goal of the present work is to explore the idea that Twitter, as a highly popular platform for information exchange, could be used as a data-mining source to learn about the population affected by ASD -- their behaviour, concerns, needs etc. To this end, using a large data set of over 11 million harvested tweets as the basis for our investigation, we describe a series of experiments which examine a range of linguistic and semantic aspects of messages posted by individuals interested in ASD. Our findings, the first of their nature in the published scientific literature, strongly motivate additional research on this topic and present a methodological basis for further work.Comment: Social Network Analysis and Mining, 201

Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis

Notwithstanding recent work which has demonstrated the potential of using Twitter messages for content-specific data mining and analysis, the depth of such analysis is inherently limited by the scarcity of data imposed by the 140 character tweet limit. In this paper we describe a novel approach for targeted knowledge exploration which uses tweet content analysis as a preliminary step. This step is used to bootstrap more sophisticated data collection from directly related but much richer content sources. In particular we demonstrate that valuable information can be collected by following URLs included in tweets. We automatically extract content from the corresponding web pages and treating each web page as a document linked to the original tweet show how a temporal topic model based on a hierarchical Dirichlet process can be used to track the evolution of a complex topic structure of a Twitter community. Using autism-related tweets we demonstrate that our method is capable of capturing a much more meaningful picture of information exchange than user-chosen hashtags.Comment: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 201

Adult siblings who have a brother or sister with autism: between-family and within-family variations in sibling relationships

Prior research on the sibling relationship in the context of autism spectrum disorder (ASD) has included only one sibling per family. We used multi-level modeling to examine aspects of the sibling relationship in 207 adults who have a brother or sister with ASD from 125 families, investigating variability in sibling relationship quality and pessimism within and between families. We found that there was greater variability in aspects of the sibling relationship with the brother or sister with ASD within families than between families. Sibling individual-level factors were associated with positive affect in the sibling relationship, while family-level factors were associated with the sibling’s pessimism about their brother or sister’s future. The findings illustrate the unique experiences of siblings within families.This research was supported in part by a grant from the National Institute on Aging (R01 AG08768) to Marsha Mailick and support from the Waisman Center Core Grant (U54 HD090256). The authors are appreciative of the opportunity to collaborate with Dr. Mailick. (R01 AG08768 - National Institute on Aging; U54 HD090256 - Waisman Center Core Grant)Accepted manuscript2019-12-3

A Survey of Occupational Therapy Services Provided for Adults with Autism Spectrum Disorder

Background: We examined the services provided to adults with autism spectrum disorder (ASD) by occupational therapists across the United States. Method: This cross-sectional study used an online survey, with a combination of structured and open-ended questions, to collect data from a nonprobability sample. Descriptive, inferential, and nonparametric statistics were used to analyze data. Results: In our sample (N= 57), the majority of the participants spent less than half of their workweek intervening with the adult ASD population. Caregivers were instrumental in both referral and discharge, and Medicaid was the most common payer source. The Adult Sensory Profile was used by more than half of the participants and sensory integration was the most influential model underlying practice (77%). The participants advised new occupational therapists to pursue high quality continuing education courses and formal mentorship from senior colleagues. Conclusion: This study suggests that working with adults with ASD remains a niche area of practice. Further research is needed to examine the pathways to receiving occupational therapy for the adult ASD population

Training Special Educators in a World of Technology Changes

Educatio

Parent and teacher perspectives on friendships and social interactions of secondary students with intellectual and developmental disabilities

Friendships between students with and without intellectual and developmental disabilities (IDD) remain infrequent, especially at the secondary level. However, when friendships between students with and without IDD have developed, direct support from parents and teachers has been a critical facilitator. Thus, this qualitative study examined parent (n = 10) and teacher (n = 20) perspectives on friendships and social interactions of middle and high school students with IDD receiving special education services in inclusive settings at least part of the day. The data were collected through semi-structured interviews with each participant and analyzed inductively utilizing a multi stage process of open and then thematic coding. The thematic findings suggest that the challenge of friendship development between students with and without IDD is ongoing, though there may be potential in focusing more explicitly and intentionally on increasing social interaction opportunities both in and out of school. Implications for future research and practice are described in the context of supporting students with and without IDD to increase social interactions and develop friendships

Tech for Understanding: An Introduction to Assistive and Instructional Technology in the Classroom

This paper examines the different types of assistive and instructional technology available to students who are classified with one or more of the thirteen disabilities outlined in the Individuals with Disabilities Education Act (referred to as, IDEA). While the roles of assistive and instructional technology are different, there are many instances where their uses may overlap. Thus, while these two categories will be discussed separately, it should be noted that some information may be applied to each category and more than one piece of technology. The purpose of this paper is to provide an introduction to the world of assistive and instructional technology for those who may be new to its concepts, particularly parents who have recently learned that their child may benefit from extra assistance and future educators who are interested in learning more about the devices they will be using to reach their students. Each of the thirteen disabilities will be discussed briefly, and then each disability will be assigned several types of assistive and instructional technology that serve it well. This will by no means be an exhaustive list of all types of technology available to teachers, parents, and students. However, it will attempt to provide a varied glimpse at some of the options that are available and how they may help children who are struggling to access the curriculum

Self-guided mindfulness and cognitive behavioural practices reduce anxiety in autistic adults: A pilot 8-month waitlist-controlled trial of widely available online tools

Anxiety in autism is an important treatment target because of its consequences for quality of life and wellbeing. Growing evidence suggests that Cognitive Behaviour Therapies (CBT) and Mindfulness-Based Therapies (MBT) can ameliorate anxiety in autism but cost-effective delivery remains a challenge. This pilot randomized controlled trial examined whether online CBT and MBT self-help programmes could help reduce anxiety in 54 autistic adults who were randomly allocated to either an online CBT (n=16) or MBT (n=19) programme or a waitlist control group (WL; n=19). Primary outcome measures of anxiety, secondary outcome measures of broader wellbeing, and potential process of change variables were collected at baseline, after programme completion, and then 3 and 6 months post-completion. Baseline data confirmed that intolerance of uncertainty and emotional acceptance accounted for up to 61% of self-reported anxiety across all participants. The 23 participants who were retained in the active conditions (14 MBT, 9 CBT) showed significant decreases in anxiety that were maintained over 3, and to some extent also 6 months. Overall, results suggest that online self-help CBT and MBT tools may provide a cost-effective method for delivering mental health support to those autistic adults who can engage effectively with online support tools