The Underwater Way

Bentwood, R; Banuelos, R; Liu, Paul; Pierson, Russell; Kaneshiro, Jon Y.; White, Craig; Ryzin, Joe Van

doi:10.1061/ciegag.0000124

Cited by 2 publications

(2 citation statements)

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“…In 2007 Edelman was first to address the issue of the credibility and impact of social media and proposed a "Social Media Index" (Brain, 2007). Among the criteria used were blog rankings (Google rank, Alexa Internet ranking, inbound links, number of subscribers); multi format (analysis of the number of Facebook friends); mini updates (analysis of the number of Twitter, number of followers, frequency of updates); business cards (LinkedIn, number of contacts); visuals (Flickr, number of uploaded photos); and favourites (Digg, del.icio.us) (Bentwood, 2007). Although such criteria may be used effectively in measuring blog influence, there is a lack of models focused on measuring the impact of other types of social media.…”

Section: Literaturementioning

confidence: 99%

“…where: lk = total number of likes sf = total number of subscribers/followers/friends/visitors il = total number of inlinks cr = total number of comments received pt = total number of posts/tweets sh = total number of shares/retweets ip = total number of information/presentation types fe = total number of factual errors hc = total number of hyperlink citations Variables in A and R were commonly used in other studies related to measuring blog influence (e.g., Bentwood, 2007). This showed that these variables had been tested and recognized as indicators for measuring the influence of social media, particularly with blogs.…”

Section: =[W 1 (Lk+sf+il)+ W 2 (Cr+pt+sh)]+ [W 3 (Ip-fe+hc)]mentioning

confidence: 99%

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Evaluating Social Media

Hassan

Shiratuddin

Hashim

et al. 2014

International Journal of Interactive Communication Systems and Technologies

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Despite the widespread adoption and popularity of social media, research on measuring the quantifiable impact of popular social media platforms remains scarce. To this end, this study attempts to investigate how the influence of social media can be assessed in quantitative terms. The main objective is to develop a new assessment model able to integrate a broad range of criteria such as likes, subscribers, comments, posts, shares, and links. The authors extend previous assessment models focused on individual platforms such as blogs and propose a Social Media Influence Assessment model (SMIA). The process of model development—criteria, dimensions, and formula—and its validation are discussed. The results indicate that social media's influence can be measured in a structured, quantifiable manner by utilising a set of nine criteria grouped into three dimensions: recognition, activity generation, and credibility.

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Section: Literaturementioning

confidence: 99%

Section: =[W 1 (Lk+sf+il)+ W 2 (Cr+pt+sh)]+ [W 3 (Ip-fe+hc)]mentioning

confidence: 99%

Evaluating Social Media

Hassan

Shiratuddin

Hashim

et al. 2014

International Journal of Interactive Communication Systems and Technologies

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Immobilizing Arsenic in Contaminated Soil Using Humic Mineral Concentrates

Shulgin¹,

Hagerty

2008

GeoCongress 2008

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Immobilization of heavy metals, especially arsenic, may involve both cationic and anionic forms. Arsenic may occur as both cations and anions. Humic mineral concentrates (HMC), including chemically active functional groups, can form complexes to immobilize both cationic and anionic forms. The efficiency of HMC in binding both cations and anions of heavy metals was demonstrated in lab-scale tests. Then, field tests were carried out on a former industrial disposal site destined for construction of commercial/residential structures. Field test results showed efficiencies of immobilization for zinc of 60%, cadmium of 66%, nickel of 72%, lead of 73%, and strontium of 87%. Arsenic immobilization efficiency was 85%. The source of initial arsenic cations was AsCl3 and the source of the anion form was NaAsO2. Both were triple valent ions. Arsenic content in soil samples ranged from 2 mg/kg up to 200 mg/kg. Tests showed that the average efficiency of initial cationic arsenic immobilization was 90%, for an initial arsenic concentration in soil of 2 mg/kg and 82% for an initial arsenic concentration of 20 mg/kg. Average efficiency of immobilization of anionic arsenic was 85% for an initial arsenic soil concentration of 2 mg/kg and 76% for an initial arsenic concentration of 20 mg/kg.

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The Underwater Way

Cited by 2 publications

References 0 publications

Evaluating Social Media

Evaluating Social Media

Immobilizing Arsenic in Contaminated Soil Using Humic Mineral Concentrates

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