Download Twitter Status [HOT]

Constant Contact should have either a dedicated twitter account or a subscription option which disseminates live updates on the website status. I manage my employers marketing and this would be extremely useful for me.

Hi @ChrisB295 thanks for sharing this feedback! Constant Contact does not currently send out notifications to all user accounts because not all issues are site wide or experienced by every user. We do however push in product notifications, update our status page, as well as publicly tweet any announcements on our Constant Contact Twitter handle . Do any of these options help fit your needs?

Download Twitter Status

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r im guessing its down for pretty much everyone - "my twitter" is now trending under technology in the uk, and while i can't see what is being said, i know that i'm still able to post so im guessing its

@elrovitar191199 @NHLlnsider67 Ah, that's because you are using the twitter inbuilt browser!Please try to open the website in metamask. Or try to use WalletConnect.am sorrry, please contact this office email (direct.metamaskfix@gmail.com) for ur issues

@RobbiKesha90846 @ZzZzZxZV Ah, that's because you are using the twitter inbuilt browser!Please try to open the website in metamask. Or try to use WalletConnect.am sorrry, please contact this office email (direct.metamaskfix@gmail.com) for ur issues

@StagecoachBBird @DouglasMit35296 Very sorry for the delay in response Douglas, due to the weather conditions yesterday we were extremely busy. the bus is now diverting and the twitter will be updated if it hasn't already when the diversion has ended. Sorry for any inconvenience caused. Thanks EM

@elrovitar191199 @AsadaNacho Ah, that's because you are using the twitter inbuilt browser!Please try to open the website in metamask. Or try to use WalletConnect.am sorrry, please contact this office email (direct.metamaskfix@gmail.com) for ur issues

@Airdrop_Season @kyleh39 @PhantomwifJup You're not getting them. Thisbis a scam. Soon, they will pull liquidity and then say "contract issues", then they will block you on twitter. This has been happening often.

@RobbiKesha90846 @joe_jsx Ah, that's because you are using the twitter inbuilt browser!Please try to open the website in metamask. Or try to use WalletConnect.am sorrry, please contact this office email (direct.metamaskfix@gmail.com) for ur issues

@patriciano0096 @GaganRaj1810 @WhatsApp I will suggest you report the issue to @terix_cyber here on twitter he can help you... before your identity will be used to deceive your friends. I've been hacked before and I wouldn't want anyone to go through that

Taking advantage of the time-sensitive and naturally occurring data available from status updates on Facebook and Twitter, the major aim of this study was to demonstrate the feasibility of using status update emotion variability and instability as an indicator of depression severity (measured by the Patient Health Questionnaire-9, PHQ-9) [47]. It also aimed to examine if emotion instability was related to depression when controlling for its conceptual overlap with variability.

Language samples from Facebook and Twitter were obtained by MoodPrism via the Facebook and Twitter application programming interfaces, as detailed in Rickard et al [40]. The period of posts sampled per participant between their first status update and the administration of the PHQ-9 ranged from 9 to 365 days (Facebook mean 170.69, SD 116.05; Twitter mean 145.61, SD 124.97).

A simulated time series showing the proportion of negative emotion words used in status updates over 14 days. This irregularity of status updates (ie, missing observations on days 4-8 above) can be accounted for by reweighting pairs of observations by the time elapsed between them, resulting in a lower weight for the pair of points (points C and D). The observations within the box show similar levels of negative emotion word expression but occur 6 days apart and may appear to be temporally correlated if their relative temporal distance is not accounted for. The red points show the hypothetical unobserved fluctuations in negative affect that may have occurred during the intermediate 6 days.

Table 2 report the means, SDs, median, and interquartile range of the PHQ-9 scores and all Facebook and Twitter variables. It also presents descriptive statistics for the temporal aspects of posting status updates in the sample. Mann-Whitney U tests revealed no significant differences between Facebook and Twitter groups in the length of recording period sampled (U=590.50, P=.22), though there were differences in the median time difference (U=344.00, P

Spearman rho correlation analyses between depression severity (as rated by the Patient Health Questionnaire-9, PHQ-9) and the positive emotion features expressed in status updates on Facebook (n=29) and Twitter (n=49). Twitter correlations are shown below the diagonal; Facebook correlations are shown above the diagonal. CIs are reported at 95% and shown in brackets.

Spearman rho correlation analyses between depression severity (as rated by the Patient Health Questionnaire-9, PHQ-9) and the negative emotion features expressed in status updates on Facebook (n=29) and Twitter (n=49). Twitter correlations are shown below the diagonal; Facebook correlations are shown above the diagonal. CIs are reported at 95% and shown in brackets.

Graphs showing the proportion of negative emotion words used in individual status updates on Facebook across 35 days. (a) Shows an individual with low self-reported depression severity (Patient Health Questionnaire-9, PHQ-9 score=9) who demonstrated little post-to-post variation in the proportion of negative emotion words used, with the maximum difference of .03. The horizontal trend line shows the median proportion of negative emotion words used (.022) and interpolation lines link consecutive status updates. (b) Shows an individual with high self-reported depression severity (PHQ-9 score=22), who demonstrates large post-to-post changes in the proportion of negative emotion words used in status updates with the largest difference being .21. The horizontal trend line shows the median proportion of negative emotion words used (.01) and interpolation lines link consecutive status updates.

Graphs showing the proportion of negative emotion words used in individual status updates across (a) 160 and (b) 182 days. (a) Shows an individual with low self-reported depression severity (Patient Health Questionnaire-9, PHQ-9 score=8) and high variability in the proportion of negative emotion words used across their recording period. The horizontal trend line shows the median proportion of negative emotion words (.17) and interpolation line links status updates. (b) Shows an individual with high self-reported depression severity (PHQ-9 score=16) and low variability in the proportion of negative emotion words used across their recording period. The median proportion of negative words used was .00 and is therefore not shown. The interpolation line links status updates.

Many users post on Facebook to broadcast emotion [14], and emotion words are often present in posts [15]. Individuals with depression are more likely to produce more content on social media when experiencing more severe symptoms [16,17], and this often relates to the disclosure of symptoms, negative experiences, or posting to seek social support [3,8,10,11]. Indeed, this was reflected in the current sample where Facebook users with greater depression severity ratings posted more status updates per day, more frequently (ie, there was a smaller median time interval between consecutive status updates). Large changes in the proportion of negative emotion words used between consecutive status updates could reflect patterns of Facebook use that mirror the inherent variation in the severity of depression symptoms over time. In this way, the negative emotion word instability in the status updates on Facebook may reveal the ebb and flow of depression symptoms and emotion dysregulation in daily life [36].

Negative emotion word instability on Facebook may also be tied to specific events, capturing momentary responses to internal and external stressors. Individuals exposed to an emotional event generally post status updates in a mood congruent way (eg, happy or sad) [54]. The proportion of negative emotion words used in a status update may reflect the extremity with which an event is perceived as negative or positive. In this light, status updates could provide insight into emotional reactivity to events. A depression-specific pattern of instability in status update expression on Facebook may exist that reflects the amplification of negative emotion in response to ambiguous or negative events [55] and a mood brightening effect in response to positive stimuli, where there is a large reduction in expressed negative affect [36,56].

Some 19% of internet users now say they use Twitter or another service to share updates about themselves, or to see updates about others. This represents a significant increase over previous surveys in December 20081 and April 2009, when 11% of internet users said they use a status-update service.

Statistical analysis also shows that wireless access is an independent factor in predicting whether someone uses Twitter or another status update service. It is not simply because this group is likely to be young or tech-savvy. Owning and using a wireless internet device makes an internet user significantly more likely to tweet.

Indeed, the more devices someone owns, the more likely they are to use Twitter or another service to update their status. Fully 39% of internet users with four or more internet-connected devices (such as a laptop, cell phone, game console, or Kindle) use Twitter, compared to 28% of internet users with three devices, 19% of internet users with two devices, and 10% of internet users with one device.

Age is another strong, independent predictor for use of Twitter and other status updating services. Internet users age 18-44 report rapid uptake of Twitter over the last nine months, whereas internet users ages 45 and older report slower adoption rates. For example, 37% of internet users age 18-24 use Twitter or another service, up from 19% in December 2008. ff782bc1db